Senior Data Modeller

1 week ago

Gurgaon, Haryana, India Unifocus Full time
Data Engineer (ETL and Data Modelling) Role

About Unifocus

At Unifocus, we are a cutting-edge workforce management software platform that aims to revolutionize the hospitality market with our innovative solutions. We are seeking a highly skilled Data Engineer to join our team and contribute to our mission of leveraging data to drive meaningful insights and deliver exceptional customer experiences.

Key Responsibilities

- Design, develop, and implement robust and efficient data models, specializing in Extract, Transform, Load (ETL) processes, ensuring optimal performance, scalability, and maintainability.

- Collaborate closely with cross-functional teams to deeply understand business requirements, translating them into effective data models that support the organization's data-driven initiatives.

- Develop, maintain, and enhance conceptual, logical, and physical data models, ensuring alignment with industry best practices and standards.

- Conduct thorough analysis of data sources, identifying patterns and relationships, and translating these insights into comprehensive data models.

- Implement advanced data modelling techniques, including normalization, indexing, and partitioning, to optimize data storage, retrieval, and analysis processes.

- Integrate data models into ETL processes, ensuring data integrity and consistency throughout the entire data pipeline.

- Collaborate with database administrators and infrastructure teams to ensure seamless integration of data models into the overall data architecture.

- Stay updated with the latest industry trends, technologies, and best practices related to data engineering, data modelling, and ETL processes.

- Conduct performance tuning and optimization of existing data models, proactively identifying and addressing any issues or bottlenecks.

- Document data modelling and ETL processes, methodologies, and decisions, fostering knowledge sharing and providing clear documentation for future reference.

- Provide mentorship and guidance to junior members of the data engineering team, promoting knowledge transfer, a culture of continuous learning, and skills development.

Requirements

- Bachelor's degree in computer science, Information Systems, or a related field. Master's degree is a plus.

- Proven work experience of 8+ years as a Data Engineer with a significant focus on data modelling and ETL processes.

- Expertise in SQL and proficiency in data modelling techniques across conceptual, logical, and physical dimensions.

- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective data models.

- In-depth knowledge of database systems (both relational and NoSQL) and experience with data warehousing concepts.

- Proficiency in programming languages such as Python, Java, or Scala, with the ability to write efficient and maintainable code.

- Hands-on experience with data integration tools and a strong familiarity with cloud-based data warehousing and processing is highly desirable.

- Experience working with Dundas BI would be good to have.

- Excellent communication and interpersonal skills, facilitating effective collaboration with both technical and non-technical stakeholders.

- Proactive and self-driven, with a strong desire to stay current with emerging technologies and industry best practices in data modelling and ETL processes.

What We Offer

- A competitive salary

- Health insurance

- Paid time off

- A hybrid environment that promotes a healthy work-life balance

- Parental leave

- Professional development assistance

- Referral program

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