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AWS Data Engineer 3851

Job ID: 25-10803

Daily Tasks Performed:
Develop and Maintain Data Integration Solutions:

Design and implement data integration workflows using AWS Glue EMR, Lambda, Redshift
Pyspark, Spark and Python for data processing large datasets
Ensure data is extracted, transformed, and loaded into target systems
Build ETL pipelines using Iceberg

Ensure Data Quality and Integrity:

Validate and cleanse data
Ensure data quality and integrity by implementing monitoring, validation, and error handling mechanisms within data pipelines

Optimize Data Integration Processes:

Enhance the performance, optimization of data workflows to meet SLAs, scalability of data integration on AWS cloud infrastructure
Data Analysis and Data Warehousing concepts (star snowflake schema design, dimensional modeling, and reporting enablement)
Resolve performance bottlenecks
Optimize data processing to enhance Redshift's performance
Refine integration processes

Support Business Intelligence and Analytics:

Translate business requirements to technical specifications and coded data pipelines
Ensure integrated data for business intelligence and analytics
Meet data requirements

Maintain Documentation and Compliance:

Document all data integration processes , workflows , and technical & system specifications.
Ensure compliance with data governance policies , industry standards, and regulatory requirements.

What will this person be working on

Design , development , and management of data integration processes
Integrating data from diverse sources, transforming it to meet business requirements, and loading it into target systems such as data warehouses or data lakes

Position Success Criteria (Desired) - 'WANTS'

Bachelor's degree in computer science, information technology, or a related field. A master's degree can be advantageous.
4-6+ years of experience in data engineering , database design , ETL processes
Experience with Iceberg
5+ in programming languages such as PySpark, Python and SQL
5+ years of experience with AWS tools and technologies (S3 , EMR , Glue , Athena , RedShift , Postgres , RDS , Lambda , PySpark)
3+ years of experience of working with databases data marts data warehouses
ETL development , system integration , and CI CD implementation
Experience in complex database objects to move the changed data across multiple environments
Solid understanding of data security , privacy, and compliance.
Participate in agile development processes including sprint planning stand-ups and retrospectives
Provide technical guidance and mentorship to junior developers

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