AWS Lead Data Engineer - W2 Only

Responsibilities

• Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS.
• Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services - Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.
• Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions.
• Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses.
• Develop and enforce standards for data quality, security, and governance.
• Drive the adoption of DevOps, CI or CD, and infrastructure-as-code practices within the data engineering team.
• Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy.
• Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption.
• Troubleshoot complex data issues and provide technical leadership in problem resolution.

Qualifications

• 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
• Extensive hands-on experience with AWS data services - Glue, Redshift, S3, Lambda, EMR or Spark, Kinesis, Athena, RDS, API Gateway, etc.
• Proficient in programming languages such as Python and SQL, experience with Shell scripting and Scala is a plus.
• Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.
• Proven experience with ETL or ELT processes, data modeling, and big data frameworks.
• Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.
• Experience with DevOps practices, CI or CD pipelines, and infrastructure-as-code tools e.g., CloudFormation, Terraform.
• Excellent problem-solving, communication, and organizational skills.