Primary Skill : Databricks, ADF.

Location : Hyderabad.

Primary Skills : Azure Databricks, Azure Data Factory, PySpark and SQL.

Job Location : Hyderabad.

Mode of Work : Work From Office.

Experience : 8-13 Years.

About The Job :

We are seeking a highly skilled Azure Data Engineer with expertise in Azure Data Factory (ADF) and Azure Synapse Analytics to join our dynamic team within our organization.

This role involves integrating seamlessly with Internal Development Platforms (IDP) and other tools to enhance the developer experience on the Azure.

The ideal candidate will have a strong background in data integration, ETL processes, and data warehousing.

This role involves designing, developing, and maintaining data solutions that support our business intelligence and analytics initiatives.

Responsibilities :

- Design & Develop the ETL.

- Good experience in writing SQL, Python and PySpark programming.

- Create the Pipelines (simple and complex) using ADF.

- Work with other Azure stack modules like Azure Data Lakes, SQL DW.

- Must be extremely well versed in handling a large volume of data.

- Understand the business requirements for the Data flow process needs.

- Understand requirements, functional and technical specification documents.

- Development of a mapping document and transformation business rules as per the scope and requirements,/Source to target.

- Responsible for continuous formal and informal communication on project status.

- Good understanding of the JIRA stories process for SQL development activities.

Requirements :

- 8 to 13 years of Experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, and data warehouse solutions.

- Extensive hands-on experience implementing data migration and data processing using Azure services : ADLS, Azure Data Factory, Azure Functions, Synapse, Azure SQL DB, etc.

- Experience in Data Sets, Data Frame, Azure Blob & Storage Explorer.

- Must have hands-on experience in programming like Python/PySpark using Data frames, SQL and procedural SQL languages.

- Well-versed in DevOps and CI/CD deployments.

- Have good understanding of Agile/Scrum methodologies.

- Strong attention to detail in high-pressure situations.

- Experience in the insurance (e.g., UW, Claim, Policy Issuance) or financial industry preferred.

- Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.

- Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.

About The Company :

ValueMomentum is a leading solutions provider for the global property and casualty insurance industry.

The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies.

Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.

Benefits :

We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals.

Some benefits that are available to you are :

- Competitive compensation package.

- 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 the extraordinary performers.