Client is a Global Major Appliance Maker
Client is ramping up its activities in developing big data as a key tool in running the business and as a source of new services for consumers. To accelerate that, Client wanted to set up a small team in Mumbai whose sole focus will be to develop and manage data platforms, data pipeline/engineering activities and work with data scientists and/or business stakeholders to derive insights from the rapidly growing stream of information generated throughout the value chain – from digital manufacturing to products like connected devices.
We have set up a big data engineering team in Mumbai whose sole focus is to develop and manage data platforms, data pipeline, data engineering across various use cases which are identified from time to time, business stakeholders works directly with this team whenever they need to bring some data into the lake for various use cases.
With translators (Project Manager /Business Analyst) bridging any communication gaps, team members from Data Engineering, Analytics and the business work together in two- to three-month agile “sprints” as they identify problems; find out whether relevant data exists and, if not, whether that data can be acquired; test their solution, models; determine how those solutions, models will be put into production; and learn from the results.
Team Interacts and co-ordinates with business as well as platform technology/delivery stakeholders directly to bring new ideas and/or data into the lake(s) for various use cases
Provide proactive technical oversight, advice support and devops teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
|Data Analytics Services||Azure Databricks, Apache Spark, Microsoft SQL Server|
|Programming Language||PySpark, Scala|
|Data Streaming Platform||Apache Kafka|
|Workflow Management & Automation||AirFlow, Jenkins|
With Oneture team’s demonstrated expertise in various Big data technology domains and abilities to solve complex and mission critical problems, team has successfully delivered on more than 25+ Data pipelines & 4+ data engineering projects
Team has worked on 4 major projects and delivered 20+ end to end data pipelines, 4 major framework enhancement feature development, contributed to various key, orchestration improvements by enhancing Airflow, Data discovery & governance tool onboarding planning, Improve data ingestion capabilities, Security improvements, Disaster recovery planning, Automated CI/CD improvements, adopted enhanced tools for improved solutioning, some used for first time, inputs to Data Science and Data platform related work and Cloud expertise
Team worked on below Top 4 use cases till date