Job Summary:
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Job Title: AWS Data Engineer
Location: Madurai - Remote
Experience: 3+ Years
Employment Type: Full-time
About the Role We are looking for a skilled AWS Data Engineer with hands-on experience in building and optimizing data pipelines, designing data architectures, and working on cloud-native data solutions. The ideal candidate should have strong technical knowledge in AWS services, data integration, and real-time/batch data processing.
Key Responsibilities:
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Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines on AWS. Work with AWS services such as S3, Redshift, Glue, Lambda, EMR, Kinesis, and Athena.
Implement data ingestion, transformation, and storage solutions.
Optimize performance of large-scale data pipelines and queries.
Ensure data quality, governance, and security across platforms.
Collaborate with business stakeholders, data analysts, and BI teams to deliver scalable data solutions.
Troubleshoot issues and perform root cause analysis in data workflows.
Required Skills & Experience
Minimum 3+ years of experience in data engineering.
Strong hands-on expertise in AWS cloud services (S3, Glue, Lambda, Redshift, EMR, Kinesis, Athena, CloudWatch).
Proficiency in SQL and experience with relational and non-relational databases.
Good knowledge of Python / PySpark / Scala for data processing.
Experience with streaming and batch data pipelines.
Familiarity with data warehousing concepts and data modeling.
Exposure to version control tools (Git) and CI/CD pipelines.
Good to Have Experience with Big Data frameworks like Hadoop/Spark.
Knowledge of Airflow or Step Functions for orchestration.
Understanding of data lake and data warehouse architectures.
Exposure to BI tools (Tableau/Power BI/QuickSight).
