Data Engineer -Databricks

Shyftlabs; Coimbatore District; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Insurance package

Learning and development resources

Job summary

ShyftLabs is expanding its data engineering team and seeks a hands‑on Data Engineer with deep Databricks expertise. You will design and implement scalable data pipelines, ingest from REST APIs and S3, and manage data using Unity Catalog and Delta Lake.

Join a fast-growing data product company serving Fortune 500 clients. You will optimize Spark workloads, ensure data quality, and collaborate across cross‑functional teams to deliver production‑ready data solutions.

Qualifications

• Hands-on data engineering experience building scalable ETL/ELT pipelines on Databricks.
• Strong Python, PySpark, SQL skills and experience with AWS cloud services.
• Experience with REST API integrations for data ingestion/export and data quality practices.

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 pipelines with Databricks Unity Catalog and Delta Lake structures.

Skills

Python

PySpark

SQL

Databricks

AWS

REST APIs

ETL/ELT development

Data modeling

Spark tuning

Git & CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks Unity Catalog

Delta Lake

dbt

Airflow

Kafka

Amazon S3

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 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.

• 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.

• 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.

• 4+ years of experience in Data Engineering with 2+ years of hands‑on Databricks experience.
• Experience with Auto Loader, Spark Declarative pipelines, Kafka, Airflow, or dbt is a plus.
• Databricks certification is an added advantage.

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.