AWS Data Engineer

About Client:
The client is a global business advisory and technology consulting firm specializing in digital transformation and technology solutions across industries such as insurance, banking & financial services, healthcare, and life sciences. It helps organizations modernize operations through strategic consulting, digital engineering, cloud solutions, data & AI capabilities, automation, and enterprise platform implementations. The company partners with clients to improve customer experiences, optimize processes, reduce operational complexity, and deliver scalable technology solutions.



Salary Range: $130K-$145K/Annum



Job Description:

• Design, develop and support AWS-based data pipelines for enterprise data onboarding, transformation, and consumption.
• The engineer will work hands-on with Python/PySpark and AWS-native data services to create reliable, scalable, and analytics/AI-ready datasets.

Key Responsibilities:
Data Pipeline Development

• Develop ingestion and transformation pipelines using AWS Glue, EMR, S3, Python and PySpark .
• Ingest data from legacy and enterprise source systems into AWS.
• Develop transformations required to create standardized, consumption-ready datasets .
• Build and maintain ETL/ELT workflows supporting enterprise data domains.

AWS Data Engineering

• Work with S3 for data storage and processing.
• Develop workloads using Glue and EMR.
• Develop and optimize analytical datasets and workloads involving Redshift and Athena.
• Support Iceberg-based data structures on S3 where required.
• Work with other AWS data services such as DynamoDB when appropriate to the solution.

Data Quality & Reliability

• Implement data validation, reconciliation, and quality checks within pipelines.
• Identify and resolve data-processing failures and data-quality issues.
• Support performance optimization of PySpark/SQL workloads and data pipelines.
• Participate in troubleshooting and production support.

Development & Delivery

• Develop clean, maintainable, and reusable Python/PySpark code .
• Perform unit and integration testing.
• Participate in peer code reviews.
• Document data flows, mappings, transformations, and technical designs.
• Work with the Data Engineering Lead and client stakeholders to understand source data and transformation requirements.

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com.

Applicant Consent:
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