Databricks Developers
Skills
About This Role
Job Title
– Databricks Developers
Company
– TCS (MEA)
Location
– UAE
Job type
– Full time
About Us
Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years.
TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions.
This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.
A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries.
For more information, visit www.tcs.com and follow TCS news at @TCS_News.
Role Summary
We are looking for a
Databricks Developer
with strong expertise in
SQL, Python, Apache Spark, data pipelines, analytics, reporting, and AI workloads
.
The role focuses on building scalable data solutions on the
Databricks platform
to support enterprise analytics, reporting, and AI/ML initiatives.
Databricks & Spark Development
- Design, develop, and optimize
- data engineering solutions on Databricks
- Build high-performance
Apache Spark
jobs using
PySpark and Spark SQL
- Develop and manage Databricks notebooks, jobs, and workflows
- Optimize Spark performance, cluster configuration, and cost efficiency
Data Pipelines & Processing
- Build and maintain robust
- ETL/ELT pipelines
- using
Python, Spark, and Databricks
- Process large-scale structured and semi-structured datasets
- Ensure
- data quality, reliability, and scalability
- of pipelines
- Implement reusable and modular pipeline frameworks
Analytics & Reporting Enablement
- Create
- analytics-ready datasets
- using strong
- SQL modeling
- Support
- BI and reporting platforms
- by delivering accurate and timely data
- Collaborate with analytics teams to understand business requirements
- Improve query performance for dashboards and reports
AI & Advanced Workloads
- Prepare and curate data for
- AI/ML workloads
- on Databricks
- Support
- feature engineering, model training, and batch/real-time scoring pipelines
- Work closely with Data Scientists to operationalize AI solutions
- Enable end-to-end data workflows for AI-driven use cases
Collaboration & Governance
- Partner with Data Science, Analytics, and Platform teams
- Ensure adherence to
- data governance, security, and compliance standards
- Document pipelines, data models, and operational processes
- Participate in code reviews and best practice definition
Technical Skills
- Strong experience in
SQL
- (complex queries, performance tuning)
- Proficiency in
Python
- for data engineering and analytics
- Hands-on experience with
Apache Spark (PySpark / Spark SQL)
- Proven experience as a
Databricks Developer
- Expertise in
- data pipelines, ETL/ELT frameworks
- Experience supporting
- analytics and reporting use cases
- Exposure to
- AI/ML data workloads
- and large-scale analytics platforms
Core Competencies
- Strong analytical and problem-solving abilities
- Experience handling large and complex datasets
- Ability to translate business requirements into technical solutions
- Good communication and stakeholder engagement skills
- Good to Have
- Experience with
Databricks Delta Lake, Unity Catalog, or MLflow
- BFSI / enterprise analytics experience
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Knowledge of data quality checks and monitoring frameworks
Privacy Note
https://www.tcs.com/connect-with-tcs/privacy-policy
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