Looking for a Senior / Lead AWS Data Engineer with 10+ years of experience in data engineering and database development. Expert in architecting scalable, fault-tolerant ETL and ELT pipelines using AWS Glue, PySpark, Databricks, Python, and SQL. Robust background in cloud-native architectures, data migration, Spark performance optimization, and enterprise analytics enablement.

TECHNICAL SKILLS

Data Engineering PySpark, AWS Glue, AWS EMR, Databricks, Apache Iceberg, Athena, Hive, Spark SQL

Streaming & Orchestration Amazon Kinesis, Apigee Api, Apache Airflow, AWS Step Functions, AWS Glue Workflow

Data Warehousing Amazon Redshift, Redshift Spectrum

AWS Cloud S3, EC2, RDS, DynamoDB, ECS Fargate, Lambda, DMS, IAM, VPC, CloudWatch, Cloudalarm, Cloudtrail, SNS, SQS, Secret Manager, Parameter Store, KMS

Programming Python, SQL, PL/SQL

Databases Oracle, PostgreSQL, MongoDB

DevOps & Tools Bitbucket, GitLab, Terraform

Visualization Tableau, Google Data Studio

📌 Senior / Lead Aws Data Engineer Hyderabad
🏢 Sonata Software
📍 Hyderabad