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Senior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
Requirements:
- 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
- Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
- Demonstrated proficiency with Python, JavaScript and/or Java
- Familiarity with version control/SCM is a must (experience with git is a plus).
- Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
- Strong organisational and troubleshooting skills with attention to detail.
- Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.
2. hands on experience using python, sql, tablaue
3. Data Analyst
About Amagi & Growth
Amagi Corporation is a next-generation media technology company that provides cloud broadcast and targeted advertising solutions to broadcast TV and streaming TV platforms. Amagi enables content owners to launch, distribute and monetize live linear channels on Free-Ad-Supported TV and video services platforms. Amagi also offers 24x7 cloud managed services bringing simplicity, advanced automation, and transparency to the entire broadcast operations. Overall, Amagi supports 500+ channels on its platform for linear channel creation, distribution, and monetization with deployments in over 40 countries. Amagi has offices in New York (Corporate office), Los Angeles, and London, broadcast operations in New Delhi, and our Development & Innovation center in Bangalore. Amagi is also expanding in Singapore, Canada and other countries.
Amagi has seen phenomenal growth as a global organization over the last 3 years. Amagi has been a profitable firm for the last 2 years, and is now looking at investing in multiple new areas. Amagi has been backed by 4 investors - Emerald, Premji Invest, Nadathur and Mayfield. As of the fiscal year ending March 31, 2021, the company witnessed stellar growth in the areas of channel creation, distribution, and monetization, enabling customers to extend distribution and earn advertising dollars while saving up to 40% in cost of operations compared to traditional delivery models. Some key highlights of this include:
· Annual revenue growth of 136%
· 44% increase in customers
· 50+ Free Ad Supported Streaming TV (FAST) platform partnerships and 100+ platform partnerships globally
· 250+ channels added to its cloud platform taking the overall tally to more than 500
· Approximately 2 billion ad opportunities every month supporting OTT ad-insertion for 1000+ channels
· 60% increase in workforce in the US, UK, and India to support strong customer growth (current headcount being 360 full-time employees + Contractors)
· 5-10x growth in ad impressions among top customers
• Problem Solving:. Resolving production issues to fix service P1-4 issues. Problems relating to
introducing new technology, and resolving major issues in the platform and/or service.
• Software Development Concepts: Understands and is experienced with the use of a wide range of
programming concepts and is also aware of and has applied a range of algorithms.
• Commercial & Risk Awareness: Able to understand & evaluate both obvious and subtle commercial
risks, especially in relation to a programme.
Experience you would be expected to have
• Cloud: experience with one of the following cloud vendors: AWS, Azure or GCP
• GCP : Experience prefered, but learning essential.
• Big Data: Experience with Big Data methodology and technologies
• Programming : Python or Java worked with Data (ETL)
• DevOps: Understand how to work in a Dev Ops and agile way / Versioning / Automation / Defect
Management – Mandatory
• Agile methodology - knowledge of Jira
Key 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
About the Role:
As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems.
- Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc.
- You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices.
- Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi.
Requirements:
- 2-3 year of hands-on experience in speech recognitionbased projects
- Proven experience as a Speech engineer or similar role
- Should have experience of deployment on edge devices
- Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
- Prior proven experience in training and deployment of deep learning models on scale
- Strong programming experience in Python,C/C++, etc.
- Working experience with Pytorch and Tensorflow
- Experience contributing to research communities including publications at conferences and/or journals
- Strong communication skills
- Strong analytical and problem-solving skills
Job Description
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Design, development and deployment of highly-available and fault-tolerant enterprise business software at scale.
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Demonstrate tech expertise to go very deep or broad in solving classes of problems or creating broadly leverage-able solutions.
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Execute large-scale projects - Provide technical leadership in architecting and building product solutions.
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Collaborate across teams to deliver a result, from hardworking team members within your group, through smart technologists across lines of business.
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Be a role model on acting with good judgment and responsibility, helping teams to commit and move forward.
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Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with differences in opinion in a mature and fair way.
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Raise the bar by improving standard methodologies, producing best-in-class efficient solutions, code, documentation, testing, and monitoring.
Qualifications
• 15+ years of relevant engineering experience.
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Proven record of building and productionizing highly reliable products at scale.
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Experience with Java and Python
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Experience with the Big Data technologie is a plus.
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Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision
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Can collaborate well with several other engineering orgs to articulate requirements and system design
Additional Information
Professional Attributes:
• Team player!
• Great interpersonal skills, deep technical ability, and a portfolio of successful execution.
• Excellent written and verbal communication skills, including the ability to write detailed technical documents.
• Passionate about helping teams grow by inspiring and mentoring engineers.
Role: Talend Production Support Consultant
Brief Job Description:
- Involve in release deployment and monitoring of the ETL pipelines.
- Closely work with the development team and business team to provide operational support.
- Candidate should have good knowledge and hands on experience on below tools/technologies:
Talend (Talend Studio, TAC, TMC),SAP BODS,SQL,HIVE & Azure(Azure fundamentals, ADB,ADF)
- Hands on experience in CI/CD is an added advantage.
As discussed, please provide your Linkedin ID URL & a valid ID proof of yours.
Please confirm as well, you will relocate to Bangalore once required.
Strong knowledge in Power BI (DAX + Power Query + Power BI Service + Power BI
Desktop Visualisations) and Azure Data Storages.
Should have experience in Power BI mobile Dashboards.
Strong knowledge in SQL.
Good knowledge of DWH concepts.
Work as an independent contributor at the client location.
Implementing Access Control and impose required Security.
Candidate must have very good communication skills.
Job 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.)