Lead Data Engineer - Python, AWS, ETL - R01551402

Brillio; Chicago (IL); Hybrid; USD 125,000 - 130,000; Full time

Job summary

A leading company in the data analytics field is seeking a Lead Data Engineer to design and manage high-performance data pipelines on AWS. The ideal candidate should have expertise in various AWS services and a strong foundation in ETL processes. This hybrid role, based in Chicago, requires collaboration with data scientists and analysts to deliver actionable insights.

Qualifications

• Experience with AWS data services like Glue, Athena, S3.
• Strong knowledge of ETL processes and data warehousing.
• Familiarity with data modeling and workflow management tools.

Responsibilities

• Design and implement scalable ETL/ELT pipelines using AWS.
• Develop serverless data processing solutions using AWS Lambda.
• Monitor, debug, and optimize data pipelines for performance.

Skills

Python

SQL

AWS

Postgresql

S3

Glue

Tools

Athena

Spark

CloudWatch

DynamoDB

CloudFormation

Redshift

Lake Formation

Job description

Lead Data Engineer

Primary Skills

• Athena, SNS, SQS, CloudWatch, Macie, Spark - Scala, Kinesis, CloudFormation, EMR, Open Search, DynamoDB, Amazon API Gateway, SCT, Redshift, DMS, Oozie

Job requirements

• Location: Chicago, IL - Hybrid with 2-3 days on-site in a week

kill sets Must have : Python, SQL/PLSQL, AWS,Postgresql,S3, Glue Good to have : CDK, GitHub Job Description We are looking for an experienced AWS Lead Data Engineer to design, build, and manage robust, scalable, and high-performance data pipelines and data platforms on AWS. The ideal candidate will have a strong foundation in ETL fundamentals, data modeling, and modern data architecture, with hands-on expertise across a broad spectrum of AWS services including Athena, Glue, Step Functions, Lambda, S3, and Lake Formation.

Key Responsibilities:

• Design and implement scalable ETL/ELT pipelines using AWS Glue, Spark (PySpark), and Step Functions.
• Work with structured and semi-structured data using Athena, S3, and Lake Formation to enable efficient querying and access control.
• Develop and deploy serverless data processing solutions using AWS Lambda and integrate them into pipeline orchestration.
• Perform advanced SQL and PL/SQL development for data transformation, analysis, and performance tuning. Build data lakes and data warehouses using S3, Aurora, and Athena.
• Implement data governance, security, and access control strategies using AWS tools including Lake Formation, CloudFront, EBS/EFS, and IAM. Develop and maintain metadata, lineage, and data cataloging capabilities.
• Participate in data modeling exercises for both OLTP and OLAP environments.
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights. Monitor, debug, and optimize data pipelines for reliability and performance.

Required Skills & Experience:

• Strong experience with AWS data services: Glue, Athena, Step Functions, Lambda, Lake Formation, S3, EC2, Aurora, EBS/EFS, CloudFront.
• Proficient in PySpark, Python, SQL (basic and advanced), and PL/SQL.
• Solid understanding of ETL/ELT processes and data warehousing concepts.
• Familiarity with modern data platform fundamentals and distributed data processing.
• Experience in data modeling (conceptual, logical, physical) for analytical and operational use cases.
• Experience with orchestration and workflow management tools within AWS.
• Strong debugging and performance tuning skills across the data stack.

Know more about:

DAI: https://www.brillio.com/services-data-analytics/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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$125,000 - $130,000 a year