NEWPosted 7 hours ago

Job ID: JOB_ID_10431

Job Description:

We are looking for a highly accomplished Senior Data Engineer with over 12 years of experience delivering scalable, enterprise-grade data solutions across banking, finance, retail, and operations domains. The ideal candidate will bring deep expertise in building and optimizing end-to-end data pipelines using modern technologies such as Databricks, PySpark, and cloud platforms including Azure, AWS, and GCP. Sethu has a proven track record in designing data lake and data warehouse architectures, implementing robust ETL/ELT frameworks, and driving large-scale cloud migrations with strong focus on performance, reliability, and data quality. His hands-on experience with big data tools like Spark, Kafka, and Airflow, combined with strong SQL and Python skills, enables him to handle complex, high-volume data environments efficiently. Additionally, his ability to work across cross-functional teams, automate processes, and ensure governance and compliance in regulated environments makes him a dependable and high-impact contributor who can quickly drive value in any data engineering initiative.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.
  • Develop and optimize data lake and data warehouse architectures.
  • Implement and manage data solutions on cloud platforms (Azure, AWS, GCP).
  • Utilize big data technologies such as Spark, Kafka, and Airflow.
  • Write efficient SQL queries and Python scripts for data manipulation and analysis.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Ensure data quality, governance, and compliance in regulated environments.
  • Automate data processes and improve system efficiency.
  • Perform large-scale cloud migrations.

Qualifications:

  • 12+ years of experience in Data Engineering.
  • Expertise in Databricks, PySpark, Spark, Kafka, Airflow.
  • Proficiency in SQL and Python.
  • Experience with cloud platforms: Azure, AWS, GCP.
  • Strong understanding of data lake and data warehouse concepts.
  • Experience in banking, finance, retail, and operations domains is a plus.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Open to relocation in East Coast areas.

Additional Information:

  • This role is open for C2C and C2H (Contract-to-Hire) engagements.
  • The candidate is currently located in Edison, NJ, and open for relocation.
  • Keywords: New Jersey, Virginia, Senior Data Engineer.

Special Requirements

C2C and C2H roles. Open for relocation in East coast areas.


Compensation & Location

Salary: $70 – $90 per hour (Estimated)

Location: Edison, NJ


Recruiter / Company – Contact Information

Email: pasha@realsoftech.com


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