Job Location: Hyderabad/Secunderabad
Responsibilities
- Pull together complex and disparate data sources
- Execute a wide range of transformations, warehouse those data
- Put in place a data products CI/CD pipeline to produce scalable and flexible BI and analytical content in AWS/Azure
- Communicate with key business users, Data Scientists, IT Tech leads to understand requirements
Qualifications
- Bachelor s or Master s degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics
- Demonstrated ability in data modeling, ETL development, and data warehousing techniques on-prem and cloud
- 2+ years experience with query language such as SQL/Hive/Spark-SQL
- 2+ years experience with scripting or computing language such as Python
- Experience building data products with AWS Services such as S3, Glue ETL, Glue Catalog, Athena, EMR, Redshift, Cloudwatch, Quicksight
- Experience developing dashboards, analytical reports and backend data solutions for front end tools like Tableau, PowerBI, Quicksight etc
- Experience with software version control tools (git)
- Experience working within a Linux computing environment, and use of command line tools including knowledge of scripting for automating common tasks
- Knowledge in building Infrastructure as Code with tools like Terraform
- Knowledge of DevOps concepts and practices in the context of Machine Learning
- A good understanding of Data Quality, Data Security, and Data Governance practices
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