
AWS Data Engineer
5 days ago
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
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