Senior Data Engineer
Posted 4
views
Summary
Senior Data Engineer (Hyderabad or Bengaluru, on-site) building ETL pipelines, data models, and warehouses that process large datasets, using Python and AWS services like Redshift, S3, Glue, Kinesis, and Lambda. Requires 5+ years of data engineering experience; role includes leading client meetings, with immediate joining preferred.
Basic Qualifications
- 5+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience in at least one modern scripting or programming language, such as Python.
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, Athena, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
- Knowledge of SSIS, SSMS
- Have experience in leading team an meetings with the client(must)
- Experience in project management.
- Immediate joining. (1 in Hyderabad and 1 in Bengaluru)