AWS Data Engineer

Key Responsibilities:

- Design and develop scalable ETL processes and real-time/offline analytics tools.- Integrate and transform data from diverse sources (APIs, cloud, on-prem).- Build and optimize AWS cloud architecture (Glue, EMR, Redshift, Lambda, etc.).- Develop Spark applications using Python/PySpark.- Create dashboards using Tableau and Splunk.- Ensure data quality, consistency, and performance.- Support CI/CD pipelines (Bamboo, Bitbucket, GitHub) and infrastructure automation (Terraform).- Collaborate with stakeholders to understand data needs and deliver solutions.- Conduct testing, regression analysis, and provide tool/data support.

Skills & Tools:

- AWS (Glue, EMR, Redshift, Lambda, Sagemaker, IAM, CloudWatch)- Python, PySpark, SQL- Apache Airflow, Iceberg- Tableau, Splunk- CI/CD tools (Bamboo, Bitbucket, GitHub)- Terraform, CFS

Qualifications

:- Minimum 3 years of experience in data engineering, analytics, or database management.- Graduate degree (B.E., BCA, or equivalent).

Soft Skills:

- Strong verbal and written communication- High flexibility and adaptability- Ownership and accountability mindset