Job Description

Job Title:

Senior Data Engineer

Employment Type : Contract - 6 Months

Location:

Remote

Work Hours:

Flexible

Experience:

7+ Years

About the Role

We are seeking a highly skilled

Senior Data Engineer

with deep expertise in

Spark (Dataproc/Databricks)

,

Python

,

Delta Lake

, and

cross-cloud orchestration

. This role is ideal for someone who thrives in distributed systems and has hands-on experience with

payment systems

. You'll be part of a dynamic team building scalable data pipelines and orchestrating workflows across cloud platforms.

Key Responsibilities

Design and implement scalable data pipelines using Spark (Dataproc/Databricks) Develop robust ETL processes in Python Manage and optimize Delta Lake architectures for high-performance analytics Build and maintain cross-cloud orchestration workflows (e.g., GCP, AWS, Azure) Integrate and support payment system data flows and compliance requirements Collaborate with data scientists, analysts, and product teams to deliver insights Ensure data quality, security, and governance across platforms
Required Skills

7+ years of experience in data engineering or related field Strong proficiency in Spark (Dataproc or Databricks) and Python Hands-on experience with Delta Lake and cloud data architectures Proven ability to orchestrate workflows across multiple cloud environments Familiarity with payment systems and related data compliance standards Excellent problem-solving and communication skills
Nice to Have

Experience with Airflow, Prefect, or similar orchestration tools Knowledge of CI/CD pipelines and DevOps practices Exposure to real-time data streaming (Kafka, Pub/Sub)
Job Types: Full-time, Contractual / Temporary, Freelance
Contract length: 6 months

Pay: ₹80,000.00 - ₹100,000.00 per month

Work Location: Remote