Databricks Engineer - India

Cogniify, Inc.; Mumbai; Remote; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Laptop

PF

Paid PTO

Annual Bonus

Gratuity

Yearly Team building experiences

Mentorship and sponsorship

Manager resources and support

Life & accidental insurance

Job summary

Cogniify, Inc. is seeking an experienced Databricks Data Engineer to support, maintain, and optimize production Databricks workloads. You will work with data, analytics, and engineering teams to ensure reliability, performance, and scalability of data pipelines in a remote-friendly environment.

The role emphasizes troubleshooting, tuning Spark jobs, Delta Lake optimization, and governance. You will implement quality checks, monitoring, and collaboration with EST-aligned teams to deliver robust

Qualifications

• 6–9 years of data engineering experience with strong hands-on Databricks
• Solid proficiency in Spark (PySpark/Scala) and SQL
• Production Databricks workloads experience (jobs, notebooks, Delta Lake)
• Delta Lake concepts (ACID, time travel, optimization)
• Databricks job/interactive clusters and performance tuning
• Experience with cloud platforms (Azure/AWS/GCP) in Databricks
• Troubleshoot complex Spark/Databricks issues independently
• Strong communication skills with EST-aligned teams

Responsibilities

• Support and maintain existing Databricks applications, notebooks, jobs, and Delta Lake pipelines in production.
• Monitor, troubleshoot, and resolve job failures, performance issues, data quality, and cluster utilization.
• Optimize Spark jobs, SQL queries, and Delta tables for cost and performance.
• Manage Databricks workspace configurations, clusters, scheduling, and Unity Catalog.
• Implement data quality checks, logging, alerting, and observability.
• Collaborate with stakeholders to gather enhancement or bug-fix requirements.
• Perform incremental improvements and technical debt reduction.
• Ensure best practices for security, governance, and cost management.
• Document pipelines, dependencies, and runbooks.
• Participate in on-call rotations for production stability

Skills

Databricks

Apache Spark

SQL

Delta Lake

Job clusters

Performance tuning

Cloud platforms

Troubleshooting

Data modeling / ETL

Communication

Job description

Engineering · Data Science / Data Engineering

Role Overview

We are looking for an experienced Databricks Data Engineer to support, maintain, and enhance existing Databricks-based data applications and pipelines. The role focuses on ensuring reliability, performance, and scalability of production Databricks workloads rather than building net-new platforms from scratch. You will work closely with data, analytics, and engineering teams to keep critical data applications stable, optimized, and aligned with business needs.

Key Responsibilities

• Support and maintain existing Databricks applications, notebooks, jobs, and Delta Lake pipelines in production.
• Monitor, troubleshoot, and resolve issues related to job failures, performance degradation, data quality, and cluster utilization.
• Optimize existing Spark jobs, SQL queries, and Delta tables for cost, performance, and reliability.
• Manage and improve Databricks workspace configurations, including clusters, job scheduling, access controls, and Unity Catalog (where applicable).
• Implement and maintain data quality checks, logging, alerting, and basic observability for Databricks workloads.
• Collaborate with stakeholders to understand requirements for enhancements or bug fixes on existing applications.
• Perform incremental improvements, refactoring, and technical debt reduction on current Databricks solutions.
• Ensure adherence to best practices around security, governance, and cost management within the Databricks environment.
• Document existing pipelines, dependencies, and operational runbooks.
• Participate in on-call or support rotations as needed to maintain production stability

Required Qualifications

• 6–9 years of overall experience in data engineering, with strong hands‑on experience in Databricks.
• Solid proficiency in Apache Spark (PySpark and/or Scala) and SQL.
• Proven experience supporting and optimizing production Databricks workloads (jobs, notebooks, Delta Lake, workflows).
• Strong understanding of Delta Lake concepts (ACID transactions, time travel, optimization techniques such as Z‑ordering, vacuum, optimize).
• Experience with Databricks Job clusters, Interactive clusters, and performance tuning (partitioning, caching, shuffle optimization, autoscaling).
• Familiarity with data modeling, ETL/ELT patterns, and production data pipeline support.
• Experience working with cloud platforms (preferably Azure, AWS, or GCP) in the context of Databricks.
• Ability to troubleshoot complex Spark and Databricks issues independently.
• Strong communication skills and ability to work effectively with EST‑aligned team.

Preferred Qualifications

• Experience with Unity Catalog, Databricks SQL, or Lakehouse architecture.
• Knowledge of CI/CD practices for Databricks (e.g., Databricks Asset Bundles, Git integration, Terraform/ARM templates).
• Familiarity with orchestration tools (Airflow, Azure Data Factory, or Databricks Workflows).
• Exposure to data quality frameworks, monitoring tools, or cost optimization initiatives on Databricks.
• Experience supporting analytics or BI teams consuming Databricks data products.

Why Join UsWhy Join Us?

Join a team of industry veterans from Google, Meta, and top‑tier tech companies.

Work on impactful, high‑scale projects with leading global clients.

Enjoy a flexible, remote‑first culture focused on innovation and excellence.

Competitive salary, equity options, and continuous learning opportunities.

Shape the future of cloud and AI infrastructure at a rapidly growing company.

Perks And Benefits Of Working With Us

• Laptop
• PF
• Paid PTO
• Annual Bonus
• Gratuity
• Yearly Team building experiences
• Mentorship and sponsorship opportunities
• Manager resources and support
• Life & accidental insurance for additional protection.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.