Value Momentum Software

4 days ago

Hyderabad, Telangana, India Valuemomentum Full time

Job Title : Tech Lead Databricks

Lead Primary skills : Azure Databricks, PySpark, Azure Data Factory

Secondary skills : Advanced SQL, and Azure Data Lake Services

Mode of Work : Work from Office

Location : Hyderabad

Experience : 8 to 13 Years

Notice : 0-30 Days

About the Job :

We are seeking a Tech Lead :

- Databricks Data Engineer with experience in designing and developing data pipelines using Azure Databricks, Data Factory, and Datalake.

The role involves managing large volumes of data, building complex ETL solutions, and working closely with business teams to deliver robust data transformations and analytics your team :

At ValueMomentums Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain.

We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes.
Our core expertise lies in six key areas : Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.

Responsibilities :

- Design and develop ETL pipelines using ADF for data ingestion and transformation.

- Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.

- Write SQL, Python, and PySpark code for efficient data processing and transformation.

- Understand and translate business requirements into technical designs.

- Develop mapping documents and transformation rules as per project scope.

- Communicate project status with stakeholders, ensuring smooth project execution.

Requirements :

- 7-10 years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.

- Hands-on experience with Azure services : ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.

- Experience in SQL, Python, and PySpark for data transformation and processing.

- Familiarity with DevOps and CI/CD deployments.

- Strong communication skills and attention to detail in high-pressure situations.

- Experience in the insurance or financial industry is preferred.

About ValueMomentum :

ValueMomentum is a leading solutions provider for the global property & casualty insurance. industry, supported by deep domain and technology capabilities.

We offer a comprehensive suite. of advisory, development, implementation, and maintenance services across the entire P&C. insurance value chain.

This includes Underwriting, Claims, Distribution, and more, empowering. insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.

Our culture :

Our fuel At ValueMomentum, we believe in making employees win by nurturing them from within, collaborating and looking out for each other.

- People first Empower employees to succeed.

- Nurture leaders Nurture from within.

- Enjoy wins - Recognize and celebrate wins.

- Collaboration - Foster a culture of collaboration and people-centricity.

- Diversity - Committed to diversity, equity, and inclusion.

- Fun - Create a fun and engaging work environment.

- Warm welcome - Provide a personalized onboarding experience.

Company Benefits :

- Compensation Competitive compensation package comparable to the best in the industry.

- Career Growth Career development, comprehensive training & certification programs, and fast track growth for high potential associates.

- Benefits : Comprehensive health benefits and life insurance.

(ref:hirist.tech)

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