Lead Data Engineer (Databricks)

Shyftlabs; Coimbatore District; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Competitive salary

Insurance package

Learning & development resources

Job summary

ShyftLabs is a data product company focused on delivering scalable data solutions for Fortune 500 clients. We seek a Lead Data Engineer with hands-on Databricks and Spark expertise to design, build, and optimize end-to-end data pipelines and data models.

The candidate should guide engineers and drive technical decisions while collaborating with cross-functional teams. The role emphasizes leadership in Databricks, SQL, and Python, with strong emphasis on data quality, scalability, and governance.

Qualifications

• Proficient in building scalable ETL/ELT pipelines.
• Experience with Databricks Lakehouse Platform and related tooling.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
• Integrate data from databases, S3, files, and REST APIs.
• Build data pipelines with Databricks Unity Catalog.
• Implement business logic, data transformations, and dimensional 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, logging, and monitoring.
• Optimize Spark workloads for performance and reliability.
• Collaborate with cross-functional teams to deliver production-ready data solutions.

Skills

Python

PySpark

SQL

Databricks

AWS

REST APIs

Data pipelines

Delta Lake

Unity Catalog

Spark tuning

Data modeling

Tools

Databricks Lakehouse Platform

Apache Spark

Airflow

Kafka

dbt

Job description

Position Overview

We are looking for a Data Engineer with hands-on experience in building scalable datapipelines and data engineering solutions on the Databricks Lakehouse Platform. The idealcandidate should have strong expertise in Python, PySpark, SQL, Databricks, AWS, andREST 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.

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
• Integrate data from multiple sources, including databases, Amazon S3, files, andREST 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.

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

• 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.