Sr. Data Engineer

GSK Solutions

Not Interested
Bookmark
Report This Job

profile Job Location:

Atlanta, GA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Job Title:

Sr. Data Engineer (Hybrid)

Location:

Atlanta GA

Duration:

8 months

Pay Rate:

$65.79/hr on C2C / 1099 / W2 all inclusive

Interview Process:

Either Web Cam or In Person

Job Description

We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development migration of legacy systems and maintaining scalable secure and efficient data solutions using modern technologies particularly Microsoft Fabric and Azure-based platforms.

Key Responsibilities

  • Assist in designing building and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.

  • Support migration and maintenance of SSIS packages from legacy systems.

  • Implement medallion architecture (Bronze Silver Gold) for data lifecycle and quality.

  • Create and manage notebooks (Fabric Notebooks Databricks) for data transformation using Python SQL and Spark.

  • Build curated datasets to support Power BI dashboards.

  • Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets.

  • Apply data governance policies in line with Microsoft Purview or Unity Catalog.

  • Support monitoring logging and CI/CD automation using Azure DevOps.


Technical Stack

  • Microsoft Fabric (Dataflows Pipelines Notebooks OneLake)

  • Azure Databricks

  • SQL Server / SQL Managed Instances

  • Power BI

  • SSIS (migration and maintenance)

  • LangGraph and RAG DB (for advanced data workflows)

Qualifications

  • Bachelors degree in computer science Information Systems or related field.

  • 2 3 years of experience in data engineering or related roles.

  • Proficiency in SQL Python Spark.

  • Familiarity with LangGraph and RAG DB concepts.

  • Hands-on experience with Microsoft Fabric and Power BI.

  • Understanding of ETL/ELT pipelines and data warehousing concepts.

Preferred

  • Knowledge of CI/CD automation with Azure DevOps.

  • Familiarity with data governance tools (Microsoft Purview Unity Catalog).

  • Experience with SSIS package migration and maintenance.

Top Skills & Years of Experience

Required/Desired Skills

Skill

Required /Desired

Amount

of Experience

Bachelors degree in computer science Information Systems or related field.

Required

3

Years

2 3 years of experience in data engineering or related roles.

Required

3

Years

Familiarity with LangGraph and RAG DB concepts.

Required

3

Years

Understanding of ETL/ELT pipelines and data warehousing concepts.

Required

3

Years

Knowledge of CI/CD automation with Azure DevOps.

Nice to have

3

Years

Familiarity with data governance tools (Microsoft Purview Unity Catalog).

Nice to have

3

Years

Experience with SSIS package migration and maintenance.

Nice to have

3

Years

Recruiter Details:

Name :

Contact : Seven one nine two three nine Five five five five

About US:

GSK Solutions Inc. is a premier information technology services company dedicated to delivering exceptional consulting solutions and staff augmentation to our valued clients. With an unwavering commitment to quality timeliness and budgetary considerations we consistently strive to exceed client expectations building a strong reputation through our reliable execution. Our expertise spans commercial and custom product development covering information security software development consulting and IT audits. We excel in managing critical time-sensitive projects for Fortune 500 clients nationwide ensuring their success is always at the forefront of our mission.

Job Title: Sr. Data Engineer (Hybrid) Location: Atlanta GA Duration: 8 months Pay Rate: $65.79/hr on C2C / 1099 / W2 all inclusive Interview Process: Either Web Cam or In Person Job Description We are seeking a motivated Data Engineer to join our team and support...
View more view more

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala