Data Engineer

Xoriant; Pune District, Mumbai, Bengaluru; On-site; INR 2,160,000 - 2,640,000; Full time

Benefits offered by this job

Fortune 500 client exposure

Modern Data & AI technologies

Learning & certification opportunities

Collaborative culture & wellness

Wellness benefits

Job summary

Xoriant is seeking an experienced Data Engineer / Databricks Developer to lead data engineering, analytics, and data platform initiatives using Databricks and AWS. Location includes Bangalore/Mumbai with 5-8 years of experience; full-time.

You will design scalable data solutions, build ETL/ELT pipelines, govern data, optimize performance, and collaborate with analytics and engineering teams. Nice-to-haves include Delta Lake, Airflow, Kafka, GenAI, and banking domain experience.

Qualifications

• 5–8 years of hands-on data engineering experience.
• Proven expertise with Databricks and AWS cloud services.
• Strong SQL, Python, and Spark skills.
• Experience building scalable ETL/ELT pipelines and data models.

Responsibilities

• Design and develop scalable data solutions on Databricks Lakehouse.
• Build and maintain ETL/ELT pipelines.
• Utilize AWS for ingestion, processing and storage.
• Develop analytics and dashboards for stakeholders.
• Implement data governance and security practices.
• Monitor and optimize data platform performance.
• Collaborate with analytics and engineering teams.
• Ensure high data quality and reliability.

Skills

Databricks

AWS Cloud

PySpark

Python

ETL/ELT

Data Modeling

Data Warehousing

Data Governance

SQL Optimization

Analytics & Dashboards

CI/CD & Agile

Tools

Delta Lake

Unity Catalog

Delta Live Tables

Apache Kafka

Airflow

Job description

Hiring: Data Engineer / Databricks Developer | Xoriant

Xoriant is Hiring!

We are looking for an experienced and hands-on Data Engineer / Databricks Developer with strong expertise in Databricks and AWS Cloud Technologies. The ideal candidate should be capable of independently driving data engineering, development, analytics, and data platform initiatives while ensuring scalability, governance, and performance optimization.

Location: Bangalore / Mumbai
Experience: 5-8 Years
Employment Type: Full-Time

Key Skills

• Databricks (Lakehouse Platform)
• AWS Cloud Services (S3, Glue, EMR, Lambda, Redshift, IAM)
• PySpark & Spark SQL
• Python Programming
• ETL / ELT Pipeline Development
• Data Modeling & Data Warehousing
• Data Governance & Security
• SQL Performance Optimization
• Analytics & Dashboard Development
• CI/CD and Agile Development Practices

What You'll Do

• Design and develop scalable data solutions on the Databricks Lakehouse Platform
• Build, optimize, and maintain ETL/ELT data pipelines
• Leverage AWS services for data ingestion, processing, transformation, and storage
• Develop analytics and reporting solutions, including dashboards and data visualizations
• Implement data governance, security, and access control best practices
• Monitor, troubleshoot, and optimize data platform performance
• Collaborate with business stakeholders, data analysts, and engineering teams
• Ensure high data quality, reliability, and operational excellence

Nice to Have

• Experience with Delta Lake, Unity Catalog, and Delta Live Tables (DLT)
• Knowledge of Apache Kafka or Streaming Data Pipelines
• Experience with Airflow or workflow orchestration tools
• Exposure to GenAI/Copilot and AI-enabled data solutions
• Financial Services or Banking Domain Experience

Why Xoriant?

• Work with Fortune 500 clients and leading global enterprises
• Exposure to modern Data & AI technologies
• Continuous learning and certification opportunities
• Collaborative and inclusive work culture
• Rewards, recognition, and wellness benefits

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