Face To Face Interview (Senior Data Engineer)

Location: Bangalore Client Location

Experience: 7–9 years

Looking for an experienced Senior Data Engineer with expertise in PostgreSQL, Advanced SQL, Python, Data Warehousing, Dimensional Modeling, and AWS Cloud. Strong hands-on experience in building scalable data platforms using AWS Glue, EMR, Spark, Redshift, Athena, Lambda, S3, Kinesis, Kafka/MSK, Event Bridge, SQS, SNS, SageMaker, and Terraform (IaC).

Must have experience in ETL/ELT development, data migration, data quality, data validation, REST API integrations, CI/CD, and real-time/batch data processing. Knowledge of AI/ML platforms, cloud-native data engineering, and modern data lake/warehouse architectures is a plus.

Key Skills: PostgreSQL, AWS RDS, SQL, Python, PySpark, AWS Glue, EMR, Redshift, Athena, Lambda, Kinesis, Kafka/MSK, Terraform, Data Warehousing, ETL/ELT, Data Quality, REST APIs, CI/CD, Jenkins, Git, AI/ML.