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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: 152328205
Skills:
Pyspark, Dimensional Modeling, Sas Enterprise Guide, Proc Sql, Cloud Storage, Sas Base, Star Schema, Python, Sas Macros, Dataproc, Sql, Git, Iam, Data Warehousing, DataFlow, Etl, SAS Data Sets, Data Pipeline Design, Snowflake Schema, Source-to-Target Mapping, Google BigQuery, Reconciliation, dbt, Performance Optimization, Cloud Composer Airflow, ELT Development, Data Validation
Skills:
Apache Airflow, Java, Hadoop Ecosystem, Scala, Apache Spark, Python, Apache Nifi, Apache Iceberg, Apache Ozone, Cloudera distribution
Skills:
Data Modeling, Dashboarding, Sql, ELT, Data Quality, Data Visualization, Python, Etl, SaaS Enterprise business models, Data processing performance tuning, Logging specifications, Product analytics, Anomaly detection solutions
Skills:
Data Modelling, Pyspark, Python, Sql, DevOps practices, Delta Lake, Data quality frameworks, Databricks Platform, Streaming data processing
Skills:
snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Python, AWS, Alation, Data governance principles, Glue, Data quality mesh