Data Engineer

Job Description: Job Description

Details Project Details Comments Business Title Data Engineer Years of Experience Min 3 and max upto 7. Job Descreption Looking for a hands‑on Senior Data Engineer – AWS with experience to development, build, and maintain scalable, secure, and high‑performance data platforms on AWS. This is an individual contributor role focused on data pipeline development, cloud data engineering, and analytics enablement. The role requires strong hands‑on skills in AWS data services, SQL, and Python, along with experience building reliable batch and streaming data pipelines in a global delivery environment. Must have skills Cloud & Data Engineering (AWS) Strong hands‑on experience with AWS data services, including:

• Amazon S3
• AWS Glue
• Amazon Athena
• Amazon Redshift
• Amazon EMR

Experience designing cloud‑native data lakes and data warehouse architectures Solid understanding of batch data pipelines and basic exposure to streaming concepts

SQL & Python (Mandatory) Strong SQL skills (mandatory) Writing complex queries, joins, aggregations, and transformations Experience working with large datasets in Redshift / Athena

Strong Python skills (mandatory) Python for data engineering and ETL use cases Experience with PySpark / Spark is a strong plus

Good understanding of data modeling, transformations, and performance tuning

Data Processing & Engineering Hands‑on experience with distributed data processing frameworks (Spark / PySpark) Experience handling structured and semi‑structured data Understanding of schema evolution, data quality checks, and validation logic