Excellent Opportunity For Data Engineers

We are looking for an experienced Data Engineer with strong hands-on expertise in AWS, PySpark, Python, and Databricks. The ideal candidate should have experience in designing, developing, and maintaining scalable data pipelines, implementing data processing solutions, and building robust ETL/ELT workflows on cloud platforms.

Roles & Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and Databricks.
• Develop and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data.
• Work extensively with AWS services such as S3, Glue, Lambda, EMR, Redshift, and Athena.
• Develop data transformation and processing logic using PySpark and Python.
• Build and manage data engineering solutions using Databricks.
• Work with Delta Lake, Delta Tables, and Lakehouse architecture.
• Implement data ingestion, cleansing, transformation, and aggregation processes.
• Optimize Spark jobs and troubleshoot performance issues.
• Implement data quality checks, error handling, and monitoring mechanisms.
• Collaborate with data architects, data analysts, and business stakeholders.
• Ensure data security, governance, and compliance across data pipelines.
• Participate in code reviews, technical discussions, and deployment activities