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We're Hiring | AWS Data Engineer | Hyderabad
Are you passionate about building scalable, cloud-native data platforms on AWS We're looking for an experienced Lead AWS Data Engineer to join our team and drive modern data engineering initiatives.
Location: Hyderabad
Experience: 6+ Years
Notice Period : Immediate Joiners
Employment Type: Full-Time
Key Skills
✅ AWS (S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, Lake Formation)
✅ Python | PySpark | SQL
✅ Apache Spark | Kafka | Airflow
✅ ETL/ELT Pipeline Development
✅ Data Lake & Data Warehouse Architecture
✅ Real-Time Data Processing
✅ CI/CD | AWS Security | Cloud Optimization
What You'll Do
Good to Have
⭐ Databricks, Delta Lake, Apache Iceberg, Snowflake
⭐ Terraform, Docker, Kubernetes (EKS)
⭐ Spark Optimization & Performance Tuning
⭐ Data Governance, Metadata Management & Data Quality
If you're an experienced AWS Data Engineer with strong architecture and leadership skills, we'd love to hear from you!
Job ID: 151362903
Skills:
S3, Github, Pyspark, Emr, Sql, Lambda, Cloudwatch, Terraform, Docker, Iam, Databricks, Python, AWS, Step Functions, CI CD, Glue
Skills:
amazon dynamodb , Data Modeling, Amazon Redshift, Etl Development, AWS Glue, Data Warehousing, Sql, AWS Data Catalog Crawler, Data Pipelines, Data Due Diligence
Skills:
Spark, Emr, Dynamodb, Lambda, Pyspark, Deduplication, Terraform, Scala, PostgreSQL, S3, AWS, Python, Advanced Sql, resilient pipeline patterns, AWS Sagemaker, Glue, Type 2 Dimensions, Medallion Architecture, Lakehouse, Idempotency, Incremental historical processing, late-arriving data handling, AWS data services, Step Functions, CDC Merge processing, Aurora
Skills:
S3, Lambda, Emr, Python, Sql, AWS, ETL processes, Glue, Data pipelines
Skills:
snowflake , S3, Cloudformation, Pyspark, SQL Server, Emr, Redshift, Sql, Apache Airflow, Git, Lambda, Postgres, Spark, Oracle, Python, AWS, Unified Studio, Step Functions, MWAA, Aurora, Sagemaker, Fargate, Glue