
AWS Data Engineer for one of the leading Big4
2 weeks ago
Job Title: AWS Data Engineer
Location: Bangalore, Gurgaon and Pune
Experience: 5 to 10 years
Employment Type: Full-time
About the Role
We are seeking a highly skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong expertise in AWS cloud services, Snowflake, Python, Airflow, Glue, Redshift, and Kafka and will be responsible for ensuring efficient data integration, processing, and availability for analytics and business insights.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes on AWS .
- Work extensively with Snowflake for data warehousing, transformations, and performance optimization.
- Develop automation scripts using Python and PyScript to streamline data workflows.
- Orchestrate and schedule complex workflows using Apache Airflow .
- Integrate, clean, and process structured/unstructured data from multiple sources including Kafka streams .
- Manage data storage, transformation, and loading in AWS Redshift, Glue, and S3 .
- Ensure data quality, governance, and security across all stages of the pipeline.
- Collaborate with Data Scientists, Analysts, and other stakeholders to deliver reliable and timely data solutions.
- Monitor, troubleshoot, and optimize data processes for performance and cost efficiency.
Required Skills & Experience
- Strong hands-on experience in AWS cloud services (Redshift, Glue, S3, Lambda, IAM, EC2, etc.).
- Expertise in Snowflake data warehousing and query optimization.
- Proficiency in Python & PyScript for data engineering tasks.
- Solid experience with Airflow for workflow orchestration and scheduling.
- Knowledge of Kafka for real-time data ingestion and streaming.
- Strong understanding of ETL/ELT pipelines , data modeling, and data integration best practices.
- Experience with SQL and handling large-scale datasets.
- Good problem-solving and analytical skills with attention to detail.
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