Databricks Data Engineers

Company Description 7Dxperts is a team of data and AI specialists focused on delivering cutting-edge solutions at speed and scale. The company provides end-to-end data and analytics services, helping organizations turn their data into competitive, value-driven assets. Whether clients are beginning their data journey or expanding enterprise-wide intelligence, 7Dxperts supports them with strategy, implementation, and ongoing services. The team delivers the insight, technology, and support needed for organizations to succeed in a rapidly evolving data and AI landscape.
Role Description Databricks Data Engineers at 7Dxperts design, build, and optimize data pipelines and platforms using Databricks and related technologies. In this full-time hybrid role based in Bengaluru, team members collaborate with data architects, analysts, and business stakeholders to ingest, transform, and model data that supports analytics, reporting, and AI use cases, with some work-from-home flexibility. Day-to-day responsibilities include developing ETL workflows, implementing data quality checks, maintaining data warehouses and lakehouse environments, and ensuring robust, scalable data solutions. The role also involves performance tuning, documentation, and adherence to best practices in data governance, security, and compliance.
Qualifications
Candidates should possess strong Data Engineering skills, including building and maintaining scalable data pipelines on Databricks or similar platforms.
Candidates should possess Data Modeling skills to design efficient, well-structured schemas for analytics and reporting.
Candidates should possess Extract Transform Load (ETL) skills to develop, schedule, and monitor reliable data ingestion and transformation processes.
Candidates should possess Data Warehousing skills to manage and optimize data warehouse or lakehouse environments.
Candidates should possess Data Analytics skills to support analytical workloads and collaborate with data analysts and data scientists.
Experience with Python, SQL, Spark, and cloud platforms (such as AWS, Azure, or GCP) is highly beneficial.
Understanding of data governance, security, and performance optimization in distributed data systems is preferred.
Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
Ability to work effectively in a hybrid environment, communicate clearly with cross-functional teams, and manage multiple priorities.

Work arrangement
Hybrid