: Sr Data Engineer

Primary Skill: Data Ingestion & Processing Solution Design, Python, SQL, Azure Data Factory,

Databricks, PySpark, Microsoft Fabric

Secondary Skill: Agile Process, Azure DevOps, Azure Monitor

Location: Hyderabad

Industry: Insurance

Employment Type: Full-time

Functional Area: Solutions & Delivery

Experience: 5-7Years

Are you a seasoned Sr Data Engineer with expertise in Data & Analytics using Microsoft Data Servcies?

Are you always on the cutting edge of technological advancements and eager to expand your knowledge? Do you thrive in dynamic, fast-paced environments and have a passion for delivering high-quality solutions? If so, we have an exciting opportunity for you!

As a Sr Data Engineerat ValueMomentum, you will be responsible for designing and implementing scalable, high-performance Modern Data & Analytics solutions in an agile environment. You will work closely with cross-functional teams to create reusable, testable, and sustainable data engineering solutions that align with business needs. This role will directly impact the quality of data systems and analytics solutions, helping organizations unlock the full potential of their data.

Client: ValueMomentum is one of the fastest-growing software & solutions firms focused on the Healthcare, Insurance, and Financial Services domains. Our industry focus,

expertise in technology backed by R&D;, and our customer-first approach uniquely position us to deliver value and drive momentum for our customers’ initiatives.

At ValueMomentum, we value continuous learning, innovation, and collaboration. As a Sr Data

Engineer, you will have the opportunity to work with cutting-edge technologies and make a significant impact on our data-driven solutions. You will collaborate with a talented team of professionals, shape the future of data architecture, and contribute to the success of our clients in industries that are transforming rapidly.

If you're ready to take your career to the next level, apply today to join our dynamic team and help us drive innovation in the world of Up-to-date Data & Analytics!

Must-have Skills:





- An ideal candidate should have a good academic background with at least a B.E./B.Tech

degree in computer science engineering with 5-7 years of overall work experience.
- At least 5+ years of hands-on experience in designing, developing and delivering Cloud Data

Platform Data Engineering solutions comprising Data Ingestion, Data Quality Validations, Data Processing and Data Integration aspects.
- Strong experience in Azure Data Factory, Azure Databricks, Microsoft Fabric, Fabric

pipeline, API integration. dbt, Azure Monitor and other Azure based data eco-system services.
- Hands-on experience in Python, SQL, PySpark and SparkSQL
- Proficiency in Analytics & Data modelling - use case analysis, source system analysis, and

data quality assessment.
- Significant experience in working on large-scale data and analytics platforms, databases,

storage, models, techniques, and technologies.
- Familiarity with Modern Data Platform principles, including DataOps, Reliability, Performance

Optimization, and security.
- Strong experience in conducting Discovery and Design workshops with key stakeholders

comprising both Business and IT teams
- Experience in co-ordinating/collaborating with on-shore and off-shore teams for solution

delivery
- Strong experience in Agile Process and Azure DevOps
- Excellent communication and presentation skills.

Nice-to-have Skills:
- Exposure to various Data & Analytics solution architectural styles and design principles.
- Experience with key Data Management principles including Data Governance, Data Cataloging

and Master Data Management
- Exposure to Unity Catalog, Microsoft Purview or other governance tools
- Exposure to BI analytics using Power BI.
- Insurance/Warranty Domain understanding.





Your Key Accountabilities:
- Discovery phase activities by preparing questionnaires, collaborating with client teams, and

identifying key use cases, challenges and requirements.
- Define Data Engineering solution for the modern data platform comprising Pipeline

orchestration, Data Ingestion, Data Quality, Data Transformation and Data Integration aspects considering scalability, security, reliability, code reusability and business objectives
- Align with stakeholders to ensure the designed solution meets business needs and technical

specifications
- Plan and demonstrate POC/end-to-end solution demos for identified use cases during

Sprint/Release cycles.
- Create delivery artifacts, including templates, methodologies, guidelines, and best practices

required for solution delivery.
- Provide Training & KT on Solution, Best Practices, and Frameworks/Tools to Project Team.
- Provide mentorship and training to team members, supporting their quality and timely project

deliverables.
- Supervise and monitor the development and configuration of the data platform, ensuring

alignment with the architectural design
- Conduct reviews, health checks, and optimizations to ensure solutions meet business and

technical requirements.
- Ensure thorough testing of the platform components for its data integrity, performance, and

security
- Define deployment strategies, including UAT, production rollout, and rollback plans.

What We Offer:
- Career Advancement: Individual Career Development, coaching, and mentoring programs

for professional and leadership skill development.
- Comprehensive training and certification programs.
- Performance Management: Goal setting, continuous feedback, and year-end appraisal.

Reward & recognition for extraordinary performers.
- Benefits: Comprehensive health benefits, wellness, and fitness programs. Paid time off and

holidays.
- Culture: A highly transparent organization with an open-door policy and a vibrant culture.

Pay: ₹1,500,000.00 - ₹1,870,159.69 per year

Work Location: In person

📌 Azure Data Engineer (Hyderabad)
🏢 Satus Smart Solutions
📍 Hyderabad