Company Overview At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.
They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more. Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive. Position Description We are seeking a highly skilled Databricks Engineer with 4–6 years of experience in modern data engineering, distributed data processing, and cloud-based analytics. The ideal candidate will have strong hands-on expertise with Databricks, PySpark, and Delta Lake, along with experience on at least one major cloud platform (Azure, AWS, or GCP). Knowledge of Azure data ecosystem is a strong plus. This role involves designing scalable pipelines, optimizing Databricks workloads, and collaborating closely with cross-functional teams to deliver enterprise-grade data solutions.

Key Responsibilities
Databricks Engineering
• Develop, optimize, and maintain ETL/ELT pipelines using Databricks (PySpark, Spark SQL, Delta Lake).




• Design and deploy distributed data processing workflows for batch and streaming use cases.
• Implement best practices for performance tuning, cost optimization, and cluster configuration.
• Work with Delta Lake for data versioning, incremental pipelines, and reliability. Cloud Data Platform Integration
• Build solutions on Azure, AWS, or GCP using cloud-native services integrated with Databricks.
• Ingest, transform, and process large datasets using cloud storage and compute services.
• Work with APIs, connectors, and cloud-native data orchestration tools. Azure Data Services (Good to Have)
• Exposure to Azure Data Lake (ADLS), Azure Data Factory, Azure Synapse Analytics, Azure SQL, Event Hub, Azure Functions, etc.
• Support end-to-end pipelines covering ingestion, transformation, storage, governance, and monitoring. Data Engineering & Development
• Write high-quality, production-grade Python, PySpark, and SQL code.
• Develop reusable data frameworks, utilities, and automation scripts.
• Participate in code reviews and enforce engineering best practices. Collaboration & Delivery
• Work closely with Data Architects, Analysts, and Scientists to implement scalable data solutions.
• Contribute to solution design documents, data models, and architecture diagrams.




• Ensure solutions adhere to security, governance, and compliance standards (e.g., Unity Catalog). Must Have Skills
• 4–6 years of experience in Data Engineering or Big Data platforms.
• Strong hands-on experience with Databricks, PySpark, Spark SQL, and Delta Lake.
• Experience with at least one cloud provider (Azure, AWS, or GCP).
• Strong understanding of Unity Catalog, RBAC, and data governance practices.
• Strong SQL programming and data modeling concepts.
• Understanding of distributed computing, performance tuning, and cost-efficient design.
• Experience with Git, CI/CD, and basic DevOps practices.
• Familiarity with workflow orchestration (Databricks Workflows, Airflow, ADF, etc.). Preferred Skills
• Experience with Azure data services (ADLS, ADF, Synapse, Key Vault, Event Hub).
• Experience with MLflow, serverless compute, or Delta Live Tables.
• Knowledge of containerization and serverless technologies (Docker, Kubernetes, Functions/Lambda).
• Relevant certifications:
• Databricks Data Engineer Associate or Professional Qualified Skills
• Solid written, verbal, and presentation communication skills
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Demonstrate flexibility and openness to bring creative solutions to address issues Bridgenext is an Equal Opportunity Employer

📌 Databricks Engineer (India)
🏢 BridgeNext
📍 India