Position : AWS Data Engineer

Years of Experience: 8+

Job Location: PAN India ( Bangalore, Pune, Noida, Chennai, )

Mandatory Skill set : Data Engineering, AWS ,DBT, Airflow, Payment Domain

Experience: 8+ years of hands-on experience in Data Engineering, with strong exposure to banking or financial services data platforms.

Technical Skills:

Snowflake

Data modeling, performance tuning, streams & tasks, secure views

dbt Cloud

Models, tests, macros, documentation, environments, CI

Apache Airflow

DAG design, scheduling, monitoring, and error handling

AWS Data Services : S3, Glue, Lambda, Kinesis, SQS/SNS, IAM

Strong experience with SQL and Python

Hands-on experience with Medallion / Lakehouse Architecture

Experience handling batch and near-real-time ingestion

Version control (Git), CI/CD, and Infrastructure-as-Code exposure

Banking / Domain Experience (Must-Have)

Experience working with banking or financial services data such as: Transactions, payments, accounts, loans, risk, fraud, regulatory reporting

Strong understanding of: Data controls, auditability, reconciliation, Regulatory and compliance requirements

Experience handling sensitive data (PII) with strong security practices

Nice to Have:

Experience with Kafka / MSK

Exposure to semantic layers (Tableau, Looker, Power BI)

Knowledge of data governance tools (Collibra, Alation, Unity Catalog, OpenMetadata)

Cloud certification (AWS / Snowflake)

AWS Data Engineer