Senior Data Infrastructure Specialist

4 days ago


Lahore, Punjab, Pakistan Tkxel Full time

Tkxel is a leading software development company based in Reston, Virginia. We are committed to developing innovative software solutions for leading enterprises in the world, helping them grow their businesses using the latest technology solutions.

About This Role

We are seeking an experienced Data Engineer to join our team and play a key role in designing, developing, and optimizing our client data infrastructure. The ideal candidate will have deep expertise in cloud technologies, with experience in platforms like Azure or AWS. They should also be proficient in Apache Spark for distributed data processing and transformation, and have strong SQL skills with experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB). A strong understanding of data governance, security, and compliance best practices is also essential.

Responsibilities:

  1. Design and Optimize Data Infrastructure: Collaborate with Solution Architects to design, prototype, implement, and optimize data ingestion pipelines, ensuring effective data sharing across business systems.
  2. ETL/ELT Pipeline Development: Build and optimize ETL/ELT pipelines and analytics solutions using a combination of cloud-based technologies, with an emphasis on Apache Spark and Databricks for large-scale data processing.
  3. Project Support & Delivery: Actively participate in project and production delivery meetings, providing technical expertise to resolve issues quickly and ensure successful project execution.

Requirements:

  • 5+ years of experience as a Data Engineer, with strong expertise in cloud-based data warehousing and large-scale data processing.
  • Proficiency with cloud technologies, with experience in platforms like Azure or AWS.
  • Hands-on experience with Apache Spark for distributed data processing and transformation.
  • Strong SQL skills with experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).


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