Job Title:

AWS Senior Data Engineer

DESCRIPTION

WANTS Primary Skills :

AWS EMR , GLUE, AIRFLOW, ICEBERG, REDSHIFT, RDS , IDMC, AMAZON

KIRO and CI/CD Candidate should Design and Develop Data Pipelines and Support them. Candidate will work from Torrance CA location, 4 days onsite and 1 day Work from Home, Should be able to come work all five days if required.

Project Number:

PR11965

Experience:

5+ years of experience in data engineering, database design, ETL processes, and data warehousing. 3+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift, RDS, Spectrum and Airflow) 2+ years of experience with CI/CD tools. Strong knowledge of data storage and processing technologies, including databases and data lakes based distributed computing frameworks (e.g., Hadoop, Spark). 3+ in programming languages such as Python, Java, or Scala. Nice to have Informatica Cloud tool experience (IDMC) Nice to have Agentic AI experience with

Amazon Kiro Detailed Responsibilities:

Develop and Maintain Data Integration Solutions:

Design and implement data integration workflows using AWS Glue/EMR,AWS MWAA(Airflow), Lambda, Redshift Demonstrate proficiency in Pyspark, Apache Spark and Python for data processing large datasets Ensure data is accurately and efficiently extracted, transformed, and loaded into target systems.

Ensure Data Quality and Integrity:

Validate and cleanse data to maintain high data quality. 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 processes and cost-efficiency on AWS cloudinfrastructure. Identify and resolve performance bottlenecks, fine-tuning queries, and optimizing data processing to enhance Redshift's performance Regularly review and refine integration processes to improve efficiency.

Support Business Intelligence and Analytics:

Translate business requirements to technical specifications and coded data pipelines Ensure timely availability of integrated data for business intelligence and analytics. Collaborate with data analysts and business stakeholders to meet their 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.