AWS Data Eng
Summary
A senior data engineer (6-12 yrs) designs, builds, and maintains scalable AWS data pipelines, ETL/ELT processes, data lakes, and warehouses, ensuring data quality and performance. Core stack: AWS Glue, EMR, Lambda, S3, Redshift, Athena, Kinesis, plus SQL and Python/PySpark/Scala.
Job Description
Job Title: AWS Data Engineer
Experience: 6 to 12 Years
Location: Mumbai
Notice Period: Immediate to 30 Days
Technical Expertise expectations:
1, Strong proficiency in Apache Spark for big data processing, including Spark SQL, Data Frames, and RDDs.
2. Solid experience in Java programming for developing data-intensive applications and Spark Jobs.
3. Extensive experience with AWS cloud services for data engineering (e.g S3, EMR, Glue, Redshift, Lambda, Kinesis)
4. Proficiency in SQL for data manipulation and querying
5. Experience with data warehousing concepts and technologies
6. Experience/Knowledge in Apache Kafka for real-time data streaming
6. Nice to have: knowledge in Scala, Terraform, Python programming skill, Databricks