Senior Data Engineer - Databricks

Hitya Global · Recruiting & Staffing · IT Staffing & Staff Augmentation · Python · SQL · ETL/ELT · 1 day ago
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Location
In office (Noida)
Seniority
Senior · 8+ years exp

First seen by Alion on Nov 5, 2026.

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Hitya Global

Hitya Global is a staffing company providing manpower solutions to both IT and non-IT sectors, positioning itself as a partner for shaping client teams. It operates offices in Bengaluru and Austin, Texas, and its open roles include AI infrastructure, AI, backend, Android, iOS and React Native engineers. The company is headquartered in Bengaluru, India.
hityaglobal.in · HQ: Bengaluru, India · IT Staffing & Staff Augmentation · Recruiting & Staffing
Tech stack of Hitya Global

Senior Data Engineer

Location: Noida, India

Work format: Office

Experience: 8+ years in Data Engineering, including 2+ years with Databricks

Project:

Our customer is one of the TOP-5 global management consulting firms. The role is a backfill for a departing senior data engineer in the client's Solution Product Line (SPL). It involves maintaining and developing data pipelines, serverless migration and ownership of the CI/CD process.

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering or a related field

- 8+ years of experience in Data Engineering with strong big data expertise

- Deep expertise in Databricks (2+ years), Spark and SQL

- Strong data modeling and ETL experience with large-scale datasets

- Hands-on experience orchestrating data pipelines with Airflow and CI/CD (GitHub Actions or similar)

- Proven experience with Delta Live Tables, Unity Catalog, Delta Sharing and SQL Warehouse

- Proficiency in Python for data engineering workflows

- Familiarity with analytics engineering and dbt

- Experience with data governance, compliance and security in a cloud environment

- Experience adopting software engineering best practices (testing, modularization, refactoring, automation)

- Ability to optimize data systems for performance and cost efficiency in cloud environments

- Demonstrated ability to lead projects independently and mentor junior engineers

- English: Upper-Intermediate or higher

Responsibilities:

- Serverless migration: adapt existing pipelines / code to run on different cluster types (serverless) without issues

- CI/CD ownership: maintain and improve CI/CD processes, propose architectural improvements

- Pipeline monitoring: proactively check repositories, review merge requests and team members' changes

- Functional and technical work: write pipeline code and understand the business logic (pricing domain)

Skills

Data Engineering, Databricks, PySpark, SQL, Python, ETL, CI/CD, Data Modeling, Big Data, Apache Airflow, Data Build Tool

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