Senior Data Engineer
Summary
Senior Data Engineer working on-site in Bengaluru or Hyderabad, building ETL/ELT pipelines and data warehouses using AWS services (Glue, EMR, Redshift, S3, Athena) with Python, PySpark, and SQL.
Experience- 6+years
Work Mode- All 5 days WFO
Budget- Best in industry
Location- Bengaluru/ Hyderabad
Job Description
AWS Glue, Amazon EMR, Amazon Redshift,Pyspark,Python,SQL
Cloud and AWS Expertise:
In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg,EMR, and Athena.
Strong understanding of cloud architecture and best practices for high availability and fault tolerance.
Data Engineering Concepts:
Expertise in ETL/ELT processes, data modeling, and data warehousing.
Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark.
Proficiency in handling structured and unstructured data.
Programming and Scripting:
Proficiency in Python, Pyspark and SQLfor data manipulation and pipeline development.
Expertise in working with data warehousing solutions like Redshift.