GroupA is an Enterprise Cloud Consulting firm offering a wide range of Technology Consulting, Systems Integration, and Team Building.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

GroupA

Savvy Admin PROD

- **Job Type – Long Term Contract **

- **Location – Remote – EST hours **

- **Requirements - GC holder or USC required **

**Overview **

We are seeking an experienced **Data Engineer ** to design, develop, and support scalable data solutions that enable analytics, reporting, and operational data services across the organization. This role will focus on building and optimizing ETL/ELT pipelines using Databricks and Apache Spark, developing complex SQL transformations, and enabling secure and scalable data exposure through APIs. The ideal candidate brings strong hands-on technical expertise, a deep understanding of data engineering best practices, and the ability to work collaboratively across technical and business teams in an agile environment.

**Responsibilities: **

- Design, develop, and maintain ETL/ELT pipelines using Databricks and Apache Spark for batch and incremental data processing

- Implement robust data ingestion patterns from multiple source systems including files, databases, APIs, and streaming sources where applicable

- Optimize Spark jobs and data pipelines for performance, scalability, reliability, and cost efficiency

- Ensure data quality, reconciliation, monitoring, and observability across pipelines and datasets

- Develop advanced SQL transformations for data cleansing, enrichment, aggregation, and reporting

- Design and maintain analytical data models including fact and dimension tables, curated data layers, and reporting views

- Support downstream reporting, analytics, and data science use cases with well-structured and scalable datasets

- Configure and manage data exposure through APIs for internal and external consumers

- Partner with application and integration teams to define API contracts and data payloads

- Ensure secure, scalable, and performant data access patterns

- Support API versioning and backward compatibility for published data services

- Collaborate with cross-functional teams to understand business and technical data requirements

- Participate in agile delivery processes and contribute to continuous improvement initiatives

- Document technical designs, processes, and operational procedures

**Requirements: **

- 5+ years of experience in data engineering roles

- Strong hands-on experience with Databricks and Apache Spark

- Advanced SQL proficiency including complex joins, window functions, and performance tuning

- Experience building and managing ETL/ELT pipelines

- Experience configuring and supporting data exposure through APIs

- Solid understanding of data warehousing and analytics concepts

- Experience with cloud data platforms such as AWS, Azure, or GCP preferred

- Familiarity with CI/CD practices for data pipelines preferred

- Experience with orchestration tools such as Airflow or Databricks Workflows preferred

- Knowledge of data quality, monitoring, and reconciliation frameworks preferred

- Strong problem-solving and analytical skills

- Ability to work independently on complex data challenges

- Clear communication skills with both technical and non-technical stakeholders

- Comfortable working in an agile and product-oriented environment

Data Engineer

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