Back to listing

Forward- Lead Data Engineer Databricks

Talentmate

India

18th September 2026

2609-7371-34

Job Description

Position Overview

We are looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have strong expertise in Python, PySpark, SQL, Databricks, AWS, and REST API integrations for data ingestion, managing large volumes of data, and data export

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities:

Design, develop, and maintain scalable ETL/ELT pipelines using Databricks,
PySpark, and SQL.
● Integrate data from multiple sources, including databases, Amazon S3, files, and REST APIs.
● Build data pipelines with Databricks Unity Catalog.
● Implement business logic, data transformations, and dimensional data models.
● Create, schedule, monitor, and optimize Databricks Jobs and Workflows.
● Design and manage Delta Lake tables using Medallion Architecture (Bronze, Silver,Gold).
● Ensure data quality through validations, error handling, logging, and monitoring.
● Optimize Spark workloads for performance, scalability, and reliability.
● Collaborate with cross-functional teams to deliver production-ready data solutions.

Basic Qualification:

Strong expertise in Python, PySpark, and Advanced SQL.
● Hands-on experience with the Databricks Lakehouse Platform.
● Good understanding of Unity Catalog, Delta Lake, Databricks Workflows/Jobs,
Clusters, Notebooks, Repos, and Medallion Architecture.
● Experience integrating with REST APIs for data ingestion and data export.
● Strong knowledge of ETL/ELT development, batch processing, incremental loading,
and data transformation.
● Experience with data modeling (Star Schema, Snowflake Schema, Fact & Dimension
tables, SCD concepts).
● Understanding of data warehousing concepts and best practices.
● Experience working with structured and semi-structured data (CSV, JSON, Parquet,
Delta).
● Knowledge of partitioning, file optimization, Spark performance tuning, and query
optimization.
● Experience with Git and CI/CD best practices

Preferred Qualifications:

9+ years of experience in Data Engineering, including 3+ years of hands-on experience with Databricks.
Prior experience in a Lead Data Engineer / Technical Lead role, with experience guiding engineers and driving technical decisions.
Strong hands-on experience with Databricks, Apache Spark, and SQL.
Experience designing, developing, and optimizing ETL/ELT data pipelines.
Experience with Auto Loader, Spark Declarative pipelines, Kafka, Airflow, or dbt is a plus.
Databricks certification is an added advantage. Give me Jd for lead role

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Job Details

Role Level:	Executive-Level	Work Type:	Full-Time
Country:	India	City:	Coimbatore ,Tamil Nadu
Company Website:	https://shyftlabs.io	Job Function:	Data Science & AI
Company Industry/ Sector:	Software Development

What We Offer

About the Company

Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.

Report

Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.