Halma India - Senior Data Engineer

Job Description :

Responsibilities :

- Be a key team member that assists in design and development of the data pipeline.

- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems.

- Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.

- Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks.

- Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs.

- Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency.

- Implement data security and privacy measures to protect sensitive data.

- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.

- Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions.

- Identify and resolve complex data-related challenges.

- Adhere to standard processes for coding, testing, and designing reusable code/component.

- Explore new tools and technologies that will help to improve ETL platform performance.

- Participate in sprint planning meetings and provide estimations on technical implementation.

- Collaborate and communicate effectively with product teams.

What we expect of you :

Basic Qualifications :

Must-Have Skills :

- Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training.

- Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools.

- Excellent problem-solving skills and the ability to work with large, complex datasets.

- Strong understanding of data governance frameworks, tools, and standard methodologies.

- Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA).

Good-to-Have Skills :

- Strong understanding of data modeling, data warehousing, and data integration concepts.

- Knowledge of Python/R, Databricks, SageMaker, OMOP.

Professional Certifications :

- Certified Data Scientist (preferred on Databricks or Cloud environments).

- Machine Learning Certification (preferred on Databricks or Cloud environments).

- SAFe for Teams certification (preferred).

Soft Skills :

- Strong communication and collaboration skills.

- Demonstrated awareness of how to function in a team setting.

- Demonstrated presentation skills