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Data Engineer
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AWS Data Engineer - Databricks at Pune and Chennai location.
Your Role and Responsibilities*
As a Data Engineer specializing in Data Platforms on AWS, you will advise on, develop, and maintain data engineering solutions on the AWS Cloud ecosystem. You will design, build, and operate batch and real-time data pipelines using various AWS services. Your primary responsibilities will include:
• 6 years experience in Design and Develop Data Pipelines: Design, build, and operate batch and real-time data pipelines using AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis, ensuring seamless integration and operation of data engineering solutions.
• Create Data Layers: Create data layers on AWS RedShift, Aurora, and DynamoDB, and migrate data using AWS DMS.
Reach out to me on [Confidential Information]
Job ID: 153637239
Skills:
data engineering , amazon web services aws , Api Integration, Amazon S3, AWS Glue, Data Integration, XDM Schema Understanding, Adobe Experience Platform AEP, CI CD DevOps Practices, Data Pipeline Development
Skills:
Aws Services, Postgresql, Pyspark, Databricks, MongoDB, Python, Step Functions, Lambda Functions
Skills:
Data Modeling, Pyspark, AWS Glue, Sql, Terraform, Python, Etl Development, AWS Step Functions, AWS EventBridge, AWS IAM Security Best Practices, S3-based Data Lakes, Data Validation Reconciliation Frameworks
Skills:
Gcp, Apache Spark, Databricks, Tableau, Python, Sql, AWS, Airflow, Bitbucket Pipelines, dbt
Skills:
Data Modeling, AWS Glue, Kafka, Sql, ELT, Data Quality, Kinesis, Data Architecture, Spark, Databricks, Data Warehousing, Data Governance, Python, Etl, FHIR
