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PostgreSQL
PythonWhat is the role?
You will be responsible for developing and designing front-end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties. You will be responsible for the functional/technical track of the project
Key Responsibilities
- Develop and automate large-scale, high-performance data processing systems (batch and/or streaming).
- Build high-quality software engineering practices towards building data infrastructure and pipelines at scale.
- Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
- Optimize performance to meet high throughput and scale
What are we looking for?
- 4+ years of relevant industry experience.
- Working with data at the terabyte scale.
- Experience designing, building and operating robust distributed systems.
- Experience designing and deploying high throughput and low latency systems with reliable monitoring and logging practices.
- Building and leading teams.
- Working knowledge of relational databases like Postgresql/MySQL.
- Experience with Python / Spark / Kafka / Celery
- Experience working with OLTP and OLAP systems
- Excellent communication skills, both written and verbal.
- Experience working in cloud e.g., AWS, Azure or GCP
Whom will you work with?
You will work with a top-notch tech team, working closely with the architect and engineering head.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at this company
We are
We strive to make selling fun with our SaaS incentive gamification product. Company is the #1 gamification software that automates and digitizes Sales Contests and Commission Programs. With game-like elements, rewards, recognitions, and complete access to relevant information, Company turbocharges an entire salesforce. Company also empowers Sales Managers with easy-to-publish game templates, leaderboards, and analytics to help accelerate performances and sustain growth.
We are a fun and high-energy team, with people from diverse backgrounds - united under the passion of getting things done. Rest assured that you shall get complete autonomy in your tasks and ample opportunities to develop your strengths.
Way forward
If you find this role exciting and want to join us in Bangalore, India, then apply by clicking below. Provide your details and upload your resume. All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.
InViz is Bangalore Based Startup helping Enterprises simplifying the Search and Discovery experiences for both their end customers as well as their internal users. We use state-of-the-art technologies in Computer Vision, Natural Language Processing, Text Mining, and other ML techniques to extract information/concepts from data of different formats- text, images, videos and make them easily discoverable through simple human-friendly touchpoints.
TSDE - Data
Data Engineer:
- Should have total 3-6 Yrs of experience in Data Engineering.
- Person should have experience in coding data pipeline on GCP.
- Prior experience on Hadoop systems is ideal as candidate may not have total GCP experience.
- Strong on programming languages like Scala, Python, Java.
- Good understanding of various data storage formats and it’s advantages.
- Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources).
- Should have Business mindset to understand data and how it will be used for BI and Analytics purposes.
- Data Engineer Certification preferred
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Experience in Working with GCP tools like |
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Store : CloudSQL , Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore |
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Ingest : Stackdriver, Pub/Sub, AppEngine, Kubernete Engine, Kafka, DataPrep , Micro services |
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Schedule : Cloud Composer |
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Processing: Cloud Dataproc, Cloud Dataflow, Cloud Dataprep |
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CI/CD - Bitbucket+Jenkinjs / Gitlab |
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Atlassian Suite |
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- Should be well versed with Data Structures & algorithms
- Understanding of software development lifecycle
- Excellent analytical and problem-solving skills.
- Ability to work independently as a self-starter, and within a team environment.
- Good Communication skills- Written and Verbal
Machine Learning (ML)
Data SciencePythonKey deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
What will you do?
- You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
- You will be constantly assessing and improving the model using techniques like Transfer learning
- You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
- You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
- Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
- Building predictive models and machine-learning algorithms to apply to data sets.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Presenting information using data visualization techniques and proposing solutions and strategies to business challenges
We would love to hear from you if :
- You have 2+ years of experience as a software engineer at a SaaS or technology company
- Demonstrable hands-on programming experience with Python/R Data Science Stack
- Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
- Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
- Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
- Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
- Preferable Experience Experienced in web crawling and data scraping
- Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
- Experience with text mining, pattern matching and fuzzy matching
Why Tartan?
- Brand new Macbook
- Stock Options
- Health Insurance
- Unlimited Sick Leaves
- Passion Fund (Invest in yourself or your passion project)
- Wind Down
MongoDBWhat is the role?
You will be responsible for building and maintaining highly scalable data infrastructure for our cloud-hosted SAAS product. You will work closely with the Product Managers and Technical team to define and implement data pipelines for customer-facing and internal reports.
Key Responsibilities
- Design and develop resilient data pipelines.
- Write efficient queries to fetch data from the report database.
- Work closely with application backend engineers on data requirements for their stories.
- Designing and developing report APIs for the front end to consume.
- Focus on building highly available, fault-tolerant report systems.
- Constantly improve the architecture of the application by clearing the technical backlog.
- Adopt a culture of learning and development to constantly keep pace with and adopt new technolgies.
What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
- Education - BE/MCA or equivalent
- Overall 8+ years of experience
- Expert level understanding of database concepts and BI.
- Well verse in databases such as MySQL, MongoDB and hands on experience in creating data models.
- Must have designed and implemented low latency data warehouse systems.
- Must have strong understanding of Kafka and related systems.
- Experience in clickhouse database preferred.
- Must have good knowledge of APIs and should be able to build interfaces for frontend engineers.
- Should be innovative and communicative in approach
- Will be responsible for functional/technical track of a project
Whom will you work with?
You will work with a top-notch tech team, working closely with the CTO and product team.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality on content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.
PythonAbout us
SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.
The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses. We are a young company that shares a commitment to learning, being smart, working hard and being honest in all we do and striving to do that better each day. We value all our colleagues equally and everyone should feel able to speak up, propose an idea, point out a mistake and feel safe, happy and be themselves at work.
Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business. What you'll do
What you will do?
- Deliver plugins for our python based ETL pipelines.
- Deliver python services for provisioning and managing cloud infrastructure.
- Design, Develop, Unit Test, and Support code in production.
- Deal with challenges associated with large volumes of data.
- Manage expectations with internal stakeholders and context switch between multiple deliverables as priorities change.
- Thrive in an environment that uses AWS and Elasticsearch extensively.
- Keep abreast of technology and contribute to the evolution of the product.
- Champion best practices and provide mentorship.
What we're looking for
- Python 3.
- Python libraries used for data (such as pandas, numpy).
- AWS.
- Elasticsearch.
- Performance tuning.
- Object Oriented Design and Modelling.
- Delivering complex software, ideally in a FinTech setting.
- CI/CD tools.
- Knowledge of design patterns.
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
What will you get?
- This is an individual contributor role. So, if you are someone who loves to code and solve complex problems and build amazing products and not worry about anything else, this is the role for you.
- You will have the chance to learn from the best in the business who have worked across the world and are technology geeks.
- Company that always appreciates ownership and initiative. If you are someone who is full of ideas, this role is for you.
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
Data Science
R ProgrammingPythonJob description
Position: Data Scientist
Location: Bangalore
Long Term Contract position
Remote Till Covid
Experience in applied data science, analytics, data storytelling.
- Write well documented code that can be shared and used across teams, and can scale to be used in existing products. SQL, Advanced Python or R (descriptive / predictive models), Tableau Visualization. Working knowledge of Hadoop, BigQuery, Presto, Vertica
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to uncover unique actionable insights about customer service, health of public conversation and social media
- Inform, influence, support, and execute analysis that feeds into one of our many analytics domains - Customer analytics, product analytics, business operation analytics, cost analytics, media analytics, people analytics
- Select and deselect analytics priorities, insights and data based on ability to drive our desired outcomes
- Own the end to end process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership
- Mentor and create sense of community and learning environments for our global team of data analysts
Soft skills:
- Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams
- Working knowledge of agile framework and processes.
- You should be comfortable managing work plans, timelines and milestones
- You have a sense of urgency, move quickly and ship things
Bonus Points:
- You're experienced in metrics and experiment-driven development
- Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.)
Responsibilities for Data Architect
- Research and properly evaluate sources of information to determine possible limitations in reliability or usability
- Apply sampling techniques to effectively determine and define ideal categories to be questioned
- Compare and analyze provided statistical information to identify patterns, relationships and problems
- Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
- Prepare detailed reports for management and other departments by analyzing and interpreting data
- Train assistants and other members of the team how to properly organize findings and read data collected
- Design computer code using various languages to improve and update software and applications
- Refer to previous instances and findings to determine the ideal method for gathering data
Data SciencePythonR ProgrammingMachine Learning (ML)• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations
Data ScienceR ProgrammingPythonMachine Learning (ML)
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