Data Engineer; PySpark & Data Modeling

We are looking for a skilled
Data Engineer
with strong expertise in
PySpark and Data Modeling
to join our Data & Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.

• Design, develop, and maintain scalable
  data pipelines using Py Spark
• Perform
  data modeling
  (conceptual, logical, and physical) for analytics and reporting
• Build and optimize
  ETL/ELT workflows
  for large-scale datasets
• Work with structured and unstructured data across multiple sources
• Ensure data quality, integrity, and governance standards
• Collaborate with data analysts, scientists, and business stakeholders
• Optimize performance of Spark jobs and data processing systems
• Support deployment and monitoring of data solutions in production

• Strong experience in
  PySpark and Apache Spark ecosystem
• Hands-on experience in
  data modeling (Star Schema, Snowflake, etc.)
• Proficiency in
  SQL and database technologies
• Experience with
  data warehousing concepts
• Knowledge of
  ETL/ELT tools and frameworks
• Familiarity with
  cloud platforms (AWS / Azure / GCP)is a plus
• Understanding of
  big data technologies (Hadoop, Hive, Kafka, etc.)
• Strong problem-solving and analytical skills

• Experience in
  banking/financial services domain
• Exposure to
  data governance and data quality frameworks
• Knowledge of
  CI/CD pipelines and Dev Ops practices