11+ OSINT Jobs in India

Innefu Labs: Seeking Product Head - AnalyticsInnefu Labs is a Software Product Company started with an aim to address need for the innovative products addressing security gaps and data analysis. The company focuses on developing specialized products and services in the field of Cyber security and Big Data Analytics.The Company has developed Auth Shield, a multifactor unique unified and application independent authentication solution to strengthen cyber security for critical applications and provides safety from phishing attacks and identity thefts.Another prominent product developed by the company is Prophecy, an analytics framework with multiple modules based on big data analytics, AI, natural language comprehension, predictive modeling & smarter analytics. The various modules are used for smart policing, security & surveillance, Investigative Research, cyber threat intelligence, KYC & fraud detection, criminal identity etc.Mainly used by Defence & Law Enforcement Agencies, the framework aims to strengthen the security & surveillance system of the Country. Innefu Labs is dedicated to the development & implementation of more such products which can help strengthen the cyber security and surveillance system across the globe.Innefu is among the top 5 Cyber excellence companies globally (Holger Schulze awards) and have won similar recognitions at National and International arenas. To Innefu's credit, more than 100 customers in India already trust the company and the list is only growing. Exciting things are happening at Innefu and we are all game for a big leap forward.In light of this tall mandate, the Company is in the process of strengthening the team. We invite applications from interested candidates with high levels of passion, competence and commitment looking to build a rewarding career.You can read more about us @ www.innefu.comDesignation: Product Head - Analytics - OSINT Domain Experience Location : DelhiNo. of Positions : 1Qualifications :- Post-Graduation- B.Tech/ BCA/ MCAFunctional Skills & Experience :- Overall work experience of 8+ years in product management.Roles and ResponsibilitiesProduct Management- Study of competing for a product with a comparison sheet- Finalizing and getting approved specifications for next version- Managing the development of frozen features- Adopt best practices to reduce Bugs- Project Updates with leadership and Clients- Deployments & Client Management- Make documents/SOP for Deployment Roadmap- Visiting / Touching base with clients- Achieve average CSAT score- Client testimonials- Client Demos and TrainingSales :- Coordinating with Sales team for Revenue Generation- Verify leads & validate pipeline - Includes PoC(s)- Sales Closure- Vertical P&L management and EBIDTA above 50%Marketing :- Webinar (delivered or managed)- Partner enablement session- Reports, Blogs, whitepaper, Brochure, Flyers, Presentations,- Proposals and Video ScriptOther Responsibilities :- Attend seminar- Mail campaigns- Team building Exercise- Sales Training to team and partnersTechnical Knowledge :- Big data, Machine learning, Deep Learning, Artificial Intelligence, Data Warehousing, Data Analytics, Natural Language Processing, ElasticsearchCompensation 18 LPA - 25 LPAKey Attributes :- Excellent qualitative and quantitative analytical skills- Strong interpersonal and multi-tasking skills- Ability to work independently as well as in a team- Interest and ability to take up new responsibilities and challenges- Adaptability to a start-up culture (unstructured, non-hierarchical, no strict silos on work profile, on-job learning)Functional Knowledge :- Understanding of Open Source Intelligence (OSINT) and its application in modern Cyber Warfare- Knowledge of API based crawling and website scraping- Natural Language Processing based Text Analysis- Thorough understanding of Unstructured and Structured Data- Conceptual knowledge of Facial Recognition and Object Detection from images

• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

Job Description

We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

 

Skills

• Bachelors/Masters/Phd in CS or equivalent industry experience
• Demonstrated expertise of building and shipping cloud native applications
• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

We at Datametica Solutions Private Limited are looking for SQL Engineers who have a passion for cloud with knowledge of different on-premise and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike. 

Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.

Job Description

Experience : 4-10 years

Location : Pune

 

Mandatory Skills - 

• Strong in ETL/SQL development
• Strong Data Warehousing skills
• Hands-on experience working with Unix/Linux
• Development experience in Enterprise Data warehouse projects
• Good to have experience working with Python, shell scripting
•  

Opportunities -

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume and Kafka
• Would get chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

 

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

 

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

 

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

 

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

 

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

 

 

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

 

Check out more about us on our website below!

http://www.datametica.com/">www.datametica.com

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

 

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

We are Hiring For BI Developer.
Experience: 6-9 yrs
Location: NoidaJob Description:

• Must Have 3-4 Experience in SSIS, Mysql
• Good Experience in Tableau
• Experience in SQL Server.
• 1+ year of Experience in Tableau
• Knowledge of ETL Tool
• Knowledge of Dataware Housing

What You'll Do :- Develop analytic tools, working on BigData and Distributed Environment. Scalability will be the key- Provide architectural and technical leadership on developing our core Analytic platform- Lead development efforts on product features on Java- Help scale our mobile platform as we experience massive growthWhat we Need :- Passion to build analytics & personalisation platform at scale- 3 to 9 years of software engineering experience with product based company in data analytics/big data domain- Passion for the Designing and development from the scratch.- Expert level Java programming and experience leading full lifecycle of application Dev.- Exp in Analytics, Hadoop, Pig, Hive, Mapreduce, ElasticSearch, MongoDB is an additional advantage- Strong communication skills, verbal and written

Looking for Immediate JoinersAt LatentView, we would expect you to:- Independently handle delivery of analytics assignments- Mentor a team of 3 - 10 people and deliver to exceed client expectations- Co-ordinate with onsite LatentView consultants to ensure high quality, on-time delivery- Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)You'll be a valuable addition to our team if you have:- 3 - 5 years of hands-on experience in delivering analytics solutions- Great analytical skills, detail-oriented approach- Strong experience in R, SAS, Python, SQL, SPSS, Statistica, MATLAB or such analytic tools would be preferable- Working knowledge in MS Excel, Power Point and data visualization tools like Tableau, etc- Ability to adapt and thrive in the fast-paced environment that young companies operate in- A background in Statistics / Econometrics / Applied Math / Operations Research / MBA, or alternatively an engineering degree from a premier institution.

Job Description : Role : Analytics Scientist - Risk Analytics Experience Range : 1 to 4 Years Job Location : Noida Key responsibilities include •Building models to predict risk and other key metrics •Coming up with data driven solutions to control risk •Finding opportunities to acquire more customers by modifying/optimizing existing rules •Doing periodic upgrades of the underwriting strategy based on business requirements •Evaluating 3rd party solutions for predicting/controlling risk of the portfolio •Running periodic controlled tests to optimize underwriting •Monitoring key portfolio metrics and take data driven actions based on the performance Business Knowledge: Develop an understanding of the domain/function. Manage business process (es) in the work area. The individual is expected to develop domain expertise in his/her work area. Teamwork: Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations. Drive implementation of projects with Engineering team while partnering seamlessly with cross site team members Communication: Responsibly perform end to end project communication across the various levels in the organization. Candidate Specification: Skills: • Knowledge of analytical tool - R Language or Python • Established competency in Predictive Analytics (Logistic & Regression) • Experience in handling complex data sources •Dexterity with MySQL, MS Excel is good to have •Strong Analytical aptitude and logical reasoning ability •Strong presentation and communication skills Preferred: •1 - 3 years of experience in Financial Services/Analytics Industry •Understanding of the financial services business • Experience in working on advanced machine learning techniques If interested, please send your updated profile in word format with below details for further discussion at the earliest. 1. Current Company 2. Current Designation 3. Total Experience 4. Current CTC( Fixed & Variable) 5. Expected CTC 6. Notice Period 7. Current Location 8. Reason for Change 9. Availability for face to face interview on weekdays 10.Education Degreef the financial services business Thanks & Regards, Hema Talent Socio

Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.

Job description Role: Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive Designation: Manager/ Senior Manager Career Track: Expert Location: Chennai Role Description/ Responsibilities: The Industry Domain Lead will be responsible for formulating and executing the supply side/ capability build strategy for their industry. He/ she will also be responsible for driving delivery excellence in all engagements in that industry by providing expert support on generating insights and generating a compelling case for action to deliver business impact. The Industry Lead will also support the development and execution of appropriate demand side/ go-to-market strategy for driving revenue growth and penetration into existing/ new accounts. • Develop a well thought out POV on the full spectrum of problems/ opportunities in that industry and analytics solutions/ approaches that are relevant to solving them. Articulate the POV in the form of “Industry Analytics on a Page” constructs that help explain it to stakeholders covering key business challenges, metrics, levers, analytics approaches, methodologies, frameworks, tools/ assets/ solutions and impact. • Understand work done till date in the industry and collate material relevant to developing the POV in the form of case studies and collateral. • Review approaches/ methodologies/ frameworks used across engagements and develop a reference guide that can be used to standardise and drive excellence. • Evaluate tools/ assets/ solutions developed across engagements till date and recommend usage/ updates/ redesign as appropriate. • Drive delivery excellence in all engagements in the industry by active participation/ providing expert support for solving complex business problems. • Develop issue/ hypothesis trees and other relevant problem-solving approaches for addressing the business challenges. • Review and provide critical comments to delivery teams on industry factors that need to be taken into consideration for raising the bar on dashboarding, modelling, solving fuzzy problems and generating insights. • Develop relevant sales/ marketing collateral for supporting the go-to-market strategy for the industry • Track revenue and penetration into existing/ new accounts and formulate supply side approaches to drive growth around recruitment, skill building, certification, refreshes to frameworks, methodologies, tools, assets and solutions • Drive/ support proposal/ RFP response development for opportunities in the industry; support NBD and Account Management teams in sales pursuits in existing accounts • Drive/ support LatentView marketing/ sales events such as roundtables and workshops. Represent LatentView in external events/ conferences to share/ represent our POV on the industry. • Drive LatentView's consulting capability in the industry and anchor / participate actively in consulting engagements. Skill/ Experience Requirements: • Deep knowledge of the business strategy/ analytical models and approaches/ value propositions adopted by leading organizations in the industry. • Excellent understanding of the business drivers/ levers, processes in the industry and how organizations can use analytics for driving business impact. • Sound knowledge of the analytics landscape and maturity spectrum within the industry. Familiarity with the problem solving analytical techniques (math) and modelling/ visualization tools (technology) relevant to the industry. • Conviction and ability to articulate the business impact of moving up the analytics maturity curve to internal audience as well as target clients/ stakeholders. • 8+ years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data/ analytics-based decision-making framework. • Exceptional problem solving, analytical, communication and inter personal skills.