Role: AWS Data Engineer
 Location: Torrance , CA (Day 1 Onsite)
 Rate : $75/hr
 Job Description: 
  - 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 experience (IDMC)
  
 Detailed Responsibilities:
 Develop and Maintain Data Integration Solutions:
 o Design and implement data integration workflows using AWS Glue/EMR,AWS MWAA(Airflow), Lambda, Redshift
 o Demonstrate proficiency in Pyspark, Apache Spark and Python for data processing large datasets
 o Ensure data is accurately and efficiently extracted, transformed, and loaded into target systems.
  Ensure Data Quality and Integrity:
 o Validate and cleanse data to maintain high data quality.
 o Ensure data quality and integrity by implementing monitoring, validation, and error handling mechanisms within data pipelines
  Optimize Data Integration Processes:
 o Enhance the performance, optimization of data workflows to meet SLAs, scalability of data integration processes and cost-efficiency on AWS cloud infrastructure.
 o Identify and resolve performance bottlenecks, fine-tuning queries, and optimizing data processing to enhance Redshift's performance
 o Regularly review and refine integration processes to improve efficiency.
  Support Business Intelligence and Analytics:
 o Translate business requirements to technical specifications and coded data pipelines
 o Ensure timely availability of integrated data for business intelligence and analytics.
 o Collaborate with data analysts and business stakeholders to meet their data requirements.
  Maintain Documentation and Compliance:
 o Document all data integration processes, workflows, and technical & system specifications.
 o Ensure compliance with data governance policies, industry standards, and regulatory requirements.