We are hiring a Senior AWS Data Engineer to join our growing team. The ideal candidate will have deep expertise in AWS data services, strong ETL experience, and a passion for solving complex data problems at scale.
Key Responsibilities:
- Design and develop scalable, high-performance data pipelines in AWS
- Work with services like Glue, Redshift, S3, EMR, Lambda, and Athena
- Build and optimize ETL processes for both structured and unstructured data
- Collaborate with cross-functional teams to deliver actionable data solutions
- Implement best practices for data quality, security, and cost-efficiency
Required Skills:
- 6+ years in Data Engineering
- 3+ years working with AWS (Glue, S3, Redshift, Lambda, EMR, etc.)
- Proficient in Python or Scala for data transformation
- Robust SQL skills and experience in performance tuning
- Hands-on experience with Spark or PySpark
- Knowledge of data lake and DWH architecture
Nice to Have:
- Familiarity with Kafka, Kinesis, or real-time data streaming
- Exposure to Terraform or CloudFormation
- Experience with CI/CD tools like Git and Jenkins
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Skills: Redshift, Pyspark, Sql, Data Lake, AWS Glue, Python
Experience: 5.00-10.00 Years
📌 Sr Aws Data Engineer Gspann Technologies (Bengaluru)
🏢 GSPANN
📍 Bengaluru
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