Senior Data Engineer

Title: Senior Data Engineer 

Location: Hyderabad

About DataNimbus:

DataNimbus is an enterprise AI company with deep vertical solutions in financial services and industrial sectors. We build domain-native AI that understands how industries actually operate, not just how data flows through them. Our solutions are outcome-driven and industry-specific, delivering measurable results across how money moves, how assets perform, and how businesses grow. We go deep so our customers don’t have to start from scratch.

Domain depth. Enterprise scale. AI outcomes.

Why Join DataNimbus?

At DataNimbus, we believe in shaping a sustainable, AI-driven future while offering an environment that prioritizes learning, innovation, and growth. Our core values—Customer-Centricity, Simplicity, Curiosity, Responsibility, and Adaptability—are the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can:

• Work with cutting-edge technologies and revolutionize workflows in Data+AI solutions.
• Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.
• Grow personally and professionally in a culture that values curiosity and continuous learning.

If you’re passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you.

What do we want you to do:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to’s and productionalizing customer use cases.
• Work with engagement managers to scope variety of professional services work with input from the customer.
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications.
• Consult on architecture and design, bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Support customer operational issues with an escalated level of support.
• Ensure that the technical components of the engagement are delivered to meet customer’s needs by working with the Project Manager, Architect, and Customer teams.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Mentor and provide guidance to junior data engineers and team members.

What would help make your case:

• 4+ years experience in data engineering, data architecture, data platforms & analytics.
• At least 3+ years experience with Databricks, PySpark, Python, and SQL.
• Consulting / customer facing experience, working with external clients across a variety of industry markets.
• Comfortable writing code in both Python and SQL.
• Proficiency in SQL and experience with data warehousing solutions.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Strong understanding of data modeling, ETL processes, and data architecture principles.
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines.
• Working knowledge of MLOps methodologies.
• Design and deployment of performant end-to-end data architectures.
• Experience with technical project delivery – managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Good to have Databricks Certifications.
• Strong communication and collaboration skills.
• Excellent problem-solving skills.
• Ability to travel up to 30% when needed.