Company Name: Masscom Corporation

Work location : Permanent WFH

Timing: Must be available between 6 PM to 12 AM IST (rest flexible during daytime)

Working days: 5 days a week

Experience: 5+ years of experience

About Us:

Since 2015, Masscom Corp has focused on providing high-quality services at a reasonable cost to start-ups and mid-scale businesses. While we have a few enterprise scale organizations to name in our client roster, our primary focus remains small to medium scale businesses especially start-ups. Given such a focus, we truly understand the day-to-day challenges in delivering technology solutions to this segment.

Our extensive array of services helps our customers leverage next-generation technologies to build, transform and manage their IT operations as a natural extension to their in-house teams.

We provide a unique mix of domain expertise of cutting-edge Digital Product Engineering, Infrastructure Engineering and Support Services to keep up with day-to-day operations.

Key Responsibilities

Design, build, and maintain scalable ETL/ELT data pipelines using Apache Spark and Airflow
Develop efficient data ingestion and transformation processes for structured and semi-structured data
Implement and optimize Snowflake data models for high-performance analytics and BI reporting
Collaborate with Data Scientists to support machine learning workflows , data preparation, and feature engineering
Write performant, reusable Python and SQL code to support automation and pipeline orchestration
Ensure data quality, reliability, and observability across production workflows
Participate in architecture reviews and contribute to improving data engineering standards and best practices

Required Skills & Experience

5+ years of hands-on experience in data engineering roles
Strong expertise in Apache Spark (PySpark or Scala preferred)
Proficient in Apache Airflow for workflow orchestration
Advanced proficiency in Python programming
Strong command over SQL for data manipulation and analytics
Solid experience with Snowflake or similar modern data warehouse technologies
Experience with building data pipelines in cloud-based environments (e.g., AWS, GCP, or Azure)

Nice-to-Have

Exposure to machine learning workflows or experience supporting ML pipelines
Familiarity with CI/CD practices, containerization (Docker), and version control (Git)
Experience with real-time data processing or event streaming tools (e.g., Kafka)

Why Join Masscom?

Permanent Work From Home
Flexible working hours
Generous Paid Time Off (PTO) , Vacation and holidays
5-day work week
Group Health Insurance (Family Floater)

11:1

Senior Data Engineer

Job Description

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