AWS Lead Data Engineer

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. 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 skill We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. #J-18808-Ljbffr