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Position: AWS Data Engineer
Experience: 7-10 Years
Location: PAN India (Pune Preferred)
Employment Type: Full-Time
Company: ITC Infotech
Notice Period: Immediate Joiners to 30 Days Preferred
Are you passionate about building scalable cloud-native data platforms on AWS
ITC Infotech is looking for an experienced AWS Data Engineer to join a high-impact data transformation program. If you have strong expertise in AWS data engineering, ETL development, cloud orchestration, and infrastructure automation, we'd love to connect with you.
Key Responsibilities
Must-Have Skills
✅ AWS Glue (PySpark)
✅ ETL Development & Complex Data Transformations
✅ AWS Step Functions
✅ AWS EventBridge
✅ Terraform (Infrastructure as Code)
✅ Python
✅ SQL
✅ Data Modeling
✅ Data Validation & Reconciliation Frameworks
✅ AWS IAM & Security Best Practices
✅ Experience with S3-based Data Lakes
Good to Have
⭐ AWS Lake Formation
⭐ Data Governance Frameworks
⭐ DynamoDB
⭐ Metadata-Driven ETL Architecture
⭐ Event-Driven Architecture
⭐ CI/CD Pipelines & DevOps Practices
Ideal Candidate Profile
Why Join ITC Infotech
Job ID: 153660365
Skills:
Gcp, Apache Spark, Databricks, Tableau, Python, Sql, AWS, Airflow, Bitbucket Pipelines, dbt
Skills:
Data Modeling, Pyspark, Apache Spark, AWS Glue, Sql, Git, Azure Data Factory, Gcp, Docker, Azure Data Lake, Data Warehousing, Azure, Python, AWS, Etl, Airflow, GCP BigQuery
Skills:
snowflake , Power Bi, Tableau, Redshift, Sql, ELT, Azure Data Factory, Postgres, Databricks, Python, Etl, Aws S3
Skills:
Apache Airflow, Metadata Management, Pyspark, Big Data, Data Lake, Data Warehousing, Data Governance, Sql, AWS
Skills:
Apache Airflow, Aws Lambda, RDS, Amazon Redshift, Pyspark, Amazon S3, AWS Glue, AWS CloudWatch, Python, AWS