Hi,

Experience -4-8Years

Pyspark,AWS,SQL

Only Engineering Candidates

Role: Data Engineer As a Data Engineer, you will be responsible for maintaining, expanding, and optimizing our data warehouse, pipelines, and data products. You will collaborate with business users, developers, architects, analysts, and data scientists to ensure optimal data delivery. This role requires strong technical expertise in AWS, PySpark, Python, SQL, and data pipeline design, with hands-on experience in large-scale engagements.Key Highlights:

- Minimum 4+ years in Data Engineering (PySpark, AWS mandatory)
- Solid experience with AWS services (S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight)
- Expertise in ETL/ELT pipelines, data lakes, warehousing, and streaming technologies (Kafka, Kinesis, Spark Streaming)
- Proficiency in Python, SQL, Scala, Shell scripting, and orchestration tools (Airflow)
- Exposure to CI/CD tools (Git, Jenkins, Spinnaker, Ansible) and NoSQL databases

📌 Data Engineer-pyspark,AWS,SQL (Chennai)
🏢 Aelius Consultants Delhi
📍 Chennai