Lead Data Engineer
radiuslimited
Lead Data Engineer - Databricks
shyftlabs· Engineering
About this role
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.
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
● 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.
Frequently Asked Questions
Is the salary disclosed for the Lead Data Engineer - Databricks position at shyftlabs?
The salary for this Lead Data Engineer - Databricks role at shyftlabs is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Lead Data Engineer - Databricks position at shyftlabs located?
This Lead Data Engineer - Databricks role at shyftlabs is based in Coimbatore. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Lead Data Engineer - Databricks role at shyftlabs full-time or part-time?
This is listed as a Full Time position. It is posted as a Lead Data Engineer - Databricks role in the Engineering department at shyftlabs.
Which team or department does the Lead Data Engineer - Databricks at shyftlabs belong to?
This Lead Data Engineer - Databricks position is part of the Engineering department at shyftlabs. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Lead Data Engineer - Databricks position at shyftlabs?
Click the "Apply Now" button on this page. You will be redirected to shyftlabs's official application portal hosted on lever where you can submit your application directly.
When was the Lead Data Engineer - Databricks job at shyftlabs posted?
This Lead Data Engineer - Databricks position at shyftlabs was posted on Sep 22, 2026. Apply as soon as possible — early applications are often reviewed first.
Lead Data Engineer - Databricks
shyftlabs
You'll be redirected to shyftlabs's official application page on Lever.