Job Title: AWS Data Engineer
Location: Santa Clara CA
Duration: 12+ month Contract
JOB DESCRIPTION:
Data Engineer
10+ years of experience in data engineering or related fields.
Strong hands‑on experience with:
AWS services: Glue, S3, Redshift, EMR, Lambda, Kinesis, Athena.
Big Data tech: Spark/PySpark, Hadoop, Hive.
Programming: Python, SQL, Scala (optional).
Databases: SQL Server, PostgreSQL, MySQL, NoSQL (DynamoDB, MongoDB).
Experience with CI/CD, DevOps, and IaC tools.
Strong understanding of data modeling, warehousing, and distributed computing.
Data Pipeline & ETL Development
Design, build, and maintain scalable ETL/ELT pipelines using AWS services (Glue, Lambda, EMR, Step Functions).
Develop batch and real‑time data ingestion processes from diverse sources (APIs, RDBMS, streaming platforms).
Optimize data workflows for performance, scalability, and cost-efficiency.
Data Platform Engineering
Architect and implement data lakes and data warehouses using S3, Redshift, Lake Formation, Athena.
Manage data modeling (star/snowflake schemas) and design optimized storage layers.
Implement data cataloging, metadata management, and data lifecycle policies.
Big Data & Analytics
Work with big data tools such as Spark, Hadoop, Hive, and PySpark.
Support analytics and machine learning teams by providing high‑quality, curated datasets.
Cloud Infrastructure & DevOps
Build CI/CD pipelines for data engineering (CodePipeline, CodeBuild, GitHub Actions).
Write IaC using Terraform or AWS CloudFormation.
Monitor, troubleshoot, and optimize workloads using CloudWatch and distributed logging.
Data Quality & Governance
Implement data validation frameworks and automated quality checks.
Ensure compliance with security, privacy, and governance standards (IAM, KMS, encryption).
Relevant Experience
Must have solid understanding of AWS and worked for Amazon in a similar role.
Mandatory skills
AWS Data Platform
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