AWS Data Engineer

This is a Fulltime role and we are not looking for C2C candidates. Skill set - #AWS #Python, #PySpark, #SparkSQL Position Summary: We are looking for candidates with hands on experience with AWS, and Data Engineering Technologies and ability to work with directly with customer and large distributed teams Job Description Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.). Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms). Ensure data quality, governance, and security across all pipelines. Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets. Monitor and troubleshoot data workflows, ensuring high availability and performance. Stay updated with emerging AWS technologies and recommend improvements. Required Skills & Qualifications Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS. Proficiency in SQL, Python and PySpark Knowledge of data modeling, schema design, and performance tuning. Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation). Experience with security best practices (IAM, encryption, compliance). About Impetus Impetus Technologies is a digital engineering company. We deliver expert services and products in cloud data engineering and analytics space to help large enterprises in their digital transformation journey /goals. Enabling an intelligent, data-driven future for our customers. We solve Analytics , AI (Artificial Intelligence), and Cloud puzzle for fortune 500 companies to help drive innovation and growth for them. Headquartered in Los Gatos, California, with offshore development centers. We also have office in Canada. #J-18808-Ljbffr Impetus