Description

You will build and manage data pipelines to support core business workflows.

Responsibilities

• Develop scalable ETL/ELT data pipelines.
• Implement data solutions for KYC/AML workflows and client lifecycle management.
• Process and manage large-scale data sets across distributed systems.
• Orchestrate data workflows using industry-standard tools.

Required Skills

• 6+ years of professional experience in data engineering.
• Strong programming skills in Python or Scala.
• Experience with big data frameworks including Spark, PySpark, Flink, Hadoop, and Kafka.
• Proficiency with cloud data platforms (AWS, Azure, or GCP).
• Expertise in SQL and relational databases (Oracle, PostgreSQL).
• Experience with NoSQL databases such as MongoDB or Couchbase.
• Familiarity with workflow orchestration tools like Airflow or Prefect.
• Understanding of distributed, multi-tier application architectures.

Preferred Skills

• Experience with containerization technologies (Docker, Kubernetes).
• Exposure to large-scale document processing or LLM-based pipelines.

Key Skills

Education

Any Gradute