Job Description :
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 Engineering3+ years working with AWS (Glue, S3, Redshift, Lambda, EMR, etc.)Proficient in Python or Scala for data transformationStrong SQL skills and experience in performance tuningHands-on experience with Spark or PySparkKnowledge of data lake and DWH architectureNice to Have :
Familiarity with Kafka, Kinesis, or real-time data streamingExposure to Terraform or CloudFormationExperience with CI / CD tools like Git and JenkinsSkills Required
Pyspark, AWS Glue, Data Lake, Redshift, Sql, Python