Real job — pulled straight from ShyftLabs’s careers page · Verified September 29, 2026 · No reposts.
Job description
ShyftLabs is hiring a Lead Data Engineer — a full-time, based in Coimbatore role. Apply directly on ShyftLabs's careers page below.
Lead Data Engineer - Databricks
Team: Engineering
Location: Coimbatore
Commitment: Full-Time
Workplace Type: hybrid
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
Job Responsibilities:
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:
● 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
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Frequently asked questions
What skills are required for Lead Data Engineer at ShyftLabs?
The required skills for Lead Data Engineer at ShyftLabs include: Python, Spark, SQL, Databricks, AWS, REST, ETL, Git, CI/CD, Data Warehousing, Kafka, Airflow, dbt.
What is the seniority level for Lead Data Engineer at ShyftLabs?
Lead Data Engineer at ShyftLabs is a Senior / Manager level position.
How do I apply for Lead Data Engineer at ShyftLabs?
You can view the full description and apply for Lead Data Engineer at ShyftLabs on EchoJobs: https://echojobs.io/job/shyftlabs-lead-data-engineer-databricks-gxlmj.