Skip to main content Skip to footer

Data Platform Engineer

Data Eng, Mgmt & Governance Senior Analyst | Full time | Experience: 2-5 years
Job No. ATCI-5470521-S2002041 | Bengaluru | Required Skill: Microsoft Azure Databricks
Apply for this job
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Microsoft Azure Databricks
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Microsoft Azure Databricks Engineer, you will be responsible for designing, developing, and optimizing large-scale data processing solutions using Azure Databricks. You will act as a senior contributor within the team, translating business and data requirements into scalable Spark-based pipelines and curated datasets. Your daily activities will include building Databricks notebooks, implementing data transformations, optimizing jobs and clusters, and ensuring data quality and performance. You will collaborate closely with cross-functional teams, guide junior analysts, and contribute to technical decisions that enhance reliability, efficiency, and standardization of Databricks solutions.
Roles & Responsibilities: -
Act as a Senior Analyst and subject matter contributor for Azure Databricks–based data engineering solutions.
Analyze business and data requirements and translate them into technical designs aligned with Databricks and Spark best practices.
Design and develop data ingestion and transformation pipelines using Azure Databricks and Azure Data Factory.
Build and manage Delta Lake–based data layers on Azure Data Lake Storage Gen2.
Develop and optimize Spark-based transformations using PySpark and Spark SQL.
Implement medallion architecture patterns (Bronze, Silver, Gold) for raw, curated, and serving datasets.
Optimize cluster configuration, job execution, and data processing performance.
Perform data validation and reconciliation to ensure data accuracy and completeness.
Collaborate with architects and team leads on design decisions and solution improvements.
Troubleshoot and resolve Databricks job failures, data issues, and performance bottlenecks.
Participate in code reviews, notebook optimization, documentation, and knowledge-sharing sessions.
Support production deployments, monitoring, and ongoing enhancements.
Professional & Technical Skills: - Must-Have Skills with Microsoft Azure Databricks as listed below
Hands-on experience with Azure Databricks, including:
o Notebook development and job execution
o Cluster usage and configuration

Strong proficiency in PySpark and Spark SQL for data processing and transformations.
Strong proficiency in SQL for analytical querying and modeling.
Understanding of data engineering and data warehousing concepts.
Familiarity with batch and incremental data processing patterns.
Ability to debug and optimize Spark jobs and Databricks workflows.
Basic understanding of Git-based version control and deployment practices.
Experience working with Delta Lake and Azure Data Lake Storage Gen2.

Additional Information: -
The candidate should have 4–5 years of experience in data engineering or big data platforms.
This position is based at our Bengaluru, Chennai, Hyderabad office.
Minimum 15 years of full-time education (or equivalent).
Agile/project-based delivery with close collaboration across teams.
Independently handles assigned Databricks pipelines or modules.
Actively contributes to improving performance and coding standards.
Provides reliable support during testing and production issues.
15 years full time education

Bengaluru

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.

We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately.

Discover where this job fits at Accenture

Artificial Intelligence

AI and data science jobs: Uncover new possibilities

Unlock the power of AI and data to reinvent all facets of business–responsibly.

Learn more

Jobs in technology platforms: Create foundations for the future

You’ll build the tech that transforms how business works for the better.

Learn more