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Exponentia Team
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Data Engineer

Data Engineer

Exponentia Team

1 - 7 years

5 - 8 Lacs

mumbai

Posted:4 days ago| Platform:

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Skills Required

performance tuning data modeling delta cloud microsoft aws data warehousing monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore , we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik , and have been consistently recognized for in ation, delivery excellence, and trusted advisories.

Awards & Recognitions:

In ation Partner of the Year - Databricks,
Digital Impact Award, UK - (TMT Sector)
Rising Star - APJ Databricks Partner Awards
Qlik s Most Enabled Partner - APAC

With a team of 450+ AI engineers, data scientists, and consultants , we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more:

About the Role:

We are seeking a skilled Data Engineer with hands-on experience in Databricks to design, develop, and optimize scalable data pipelines and data infrastructure. The role involves working with cloud-based data platforms, building efficient ETL/ELT workflows, and enabling data-driven ision-making across the organization.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines using Databricks, Spark, and cloud-native tools.
Build and optimize scalable data architectures including data lakes, Delta Lake, and cloud warehouses.
Develop and maintain Databricks notebooks, jobs, workflows, and clusters.
Work with Delta Lake format for versioned, reliable, and high-performance data storage.
Collaborate with data analysts, data scientists, and business teams to understand data needs.
Ensure data quality, integrity, and governance with automated testing and itoring.
Apply best practices for data modeling, partitioning, and performance tuning.
Utilize cloud services (AWS/Azure/GCP) integrated with Databricks.
Implement CI/CD pipelines for Databricks jobs and notebooks.
Troubleshoot and Resolve data processing, performance, and cluster-related issues.

Ideal Candi Profile

Bachelor s or Master s degree in Computer Science, Engineering, or related field.
Strong proficiency in SQL and experience with relational and NoSQL databases.
Hands-on experience with Databricks, including notebooks, workflows, jobs, clusters, and Delta Lake.
Strong experience with Apache Spark (PySpark/Scala).
Solid programming experience in Python or Scala.
Experience with cloud platforms such as:
- Azure: Azure Databricks, Data Lake, Synapse, ADF
- AWS: Databricks on AWS, S3, Redshift, Glue
- GCP: Dat oc/BigQuery (added advantage)
Knowledge of data warehousing concepts and data modeling.
Experience with ETL/ELT tools such as Airflow, ADF, dbt, or AWS Glue.
Familiarity with version control (Git) and CI/CD practices

Good to have

Experience with real-time streaming technologies (Kafka, Kinesis, or Pub/Sub).
Knowledge of Unity Catalog, Lakehouse architecture, and Databricks SQL.
Understanding of DevOps, containerization (Docker), and Kubernetes.
Exposure to MLflow or machine learning workflows within Databricks.
Experience with BI tools (Power BI, Tableau, Looker).

Why Join Exponentia.ai

In ate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
Shape the Practice: Build a quee capability from the ground up with full ownership
Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
Continuous Growth: Access to certifications, tech events, and partner-led in ation labs
Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Ready to build the future of AI with us

Apply now and become a part of a next-gen tech company that s setting bench ks in enterprise AI solutions.

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Data Engineer