Company : Hollister Global Business Services India Private Limited

Location : Gurugram, Haryana

Total Experience : 5-8 years

Job Description :

Hollister Incorporated is a global, employee-owned healthcare company committed to making life more rewarding and dignified through innovative healthcare products and services.

We are looking for a Senior Data Developer to design, develop, and maintain reliable data solutions that support enterprise reporting, analytics, and data-driven decision-making.

The role involves building scalable data pipelines, optimizing data models, and ensuring data quality, security, and governance across enterprise data platforms.

Key Responsibilities :

- Design, develop, and maintain scalable, secure, and reliable data pipelines and data integration solutions.

- Build and optimize data transformation processes and analytical datasets using SQL, Apache Spark, and cloud-based data technologies.

- Develop and maintain data models to support business intelligence, enterprise reporting, and advanced analytics.

- Integrate data from enterprise applications and third-party sources into structured, analytics-ready formats.

- Collaborate with business stakeholders, data analysts, data scientists, and technology teams to translate business requirements into technical solutions.

- Monitor, troubleshoot, and optimize data pipelines and workflows to improve performance, reliability, and data availability.

- Implement data quality checks and follow data governance, lineage, security, and compliance standards.

- Support dashboard, reporting, and analytics solutions by ensuring accurate and consistent data delivery.

- Use version control, development lifecycle tools, and Agile practices to manage code, deployments, and project activities.

- Contribute to data architecture standards, technical documentation, and continuous improvement initiatives.

Required Skills & Qualifications :

- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.

- 5+ years of professional experience in data engineering, data development, or related roles.

- Experience working with cloud-based data platforms, including Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, or similar technologies.

- Strong SQL development skills, including complex queries, data transformations, and performance optimization.

- Experience with Apache Spark or other Spark-based data processing technologies.

- Understanding of data modeling, data integration, and enterprise data architecture.

- Knowledge of data quality, data governance, data security, and compliance practices.

- Familiarity with business intelligence, analytics, and reporting tools.

- Experience with Agile methodologies, version control, and software development lifecycle tools.

- Strong analytical, problem-solving, documentation, and communication skills.

Preferred Qualifications :

- Master's degree in a relevant discipline.

- Microsoft Fabric Analytics Engineer or equivalent certification.

- Databricks Data Engineer certification.

- Power BI Data Analyst certification.

- Experience supporting analytics in regulated industries, such as healthcare or life sciences.

- Familiarity with enterprise application integrations and cloud data architecture.