Lead Data Engineer with AWS

3 weeks ago

bangalore, India People Prime Worldwide Full time

Senior Data Engineer- (Python & AWS (Simplified JD) Experience: 7–16 years Location : Hyderabad Job Summary We are looking for a Senior Data Engineer who can build, maintain, and optimize large-scale data systems using AWS and Python . You will design data pipelines, ensure data quality, automate workflows, and support analytics/AI teams. The role needs strong technical expertise and leadership. Key Responsibilities (Simplified) Build and manage scalable data pipelines using AWS Glue, Lambda, EMR, Step Functions, Redshift. Create and optimize data lakes and data warehouses on AWS (S3, Redshift, Athena). Develop ETL/ELT processes using Python (pandas, PySpark). Integrate data from various sources like RDBMS, APIs, Kafka/Kinesis. Design efficient data models and schemas. Ensure data quality, monitoring, and lineage using AWS tools. Implement data governance, security, and compliance (IAM, encryption). Work with Data Science, Analytics, Product, and DevOps teams. Set up CI/CD for data pipelines. Mentor junior engineers and review their code. Monitor system performance and handle troubleshooting. Required Skills Bachelor’s/Master’s degree in Computer Science or related field. 5–10 years of experience in data engineering. Strong Python skills (pandas, PySpark, boto3, SQLAlchemy). Expertise with AWS services: Glue, Lambda, EMR, Step Functions, Redshift, Athena, S3, Kinesis, DynamoDB. Strong SQL and data modeling skills. Experience building data lakes, warehouses, and streaming solutions. Knowledge of ETL best practices. Experience with Git and CI/CD pipelines. Understanding of Docker/Kubernetes and DevOps concepts. Good communication and problem-solving skills. Nice-to-Have Skills Spark / PySpark on EMR or Glue. Airflow, dbt, or Dagster. Kafka / Kinesis streaming. AWS Lake Formation, Glue Studio, DataBrew. SageMaker or QuickSight integration. AWS Certifications (optional)

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