Analytics Engineer

4 days ago

Delhi, Delhi, India Hudson RPO Full time

Role - Analytics Engineer

Location - Gurugram

Role Purpose :

A new Analytics Engineer position is being created to enhance the data team's capabilities in managing and transforming data within the Snowflake data platform using dbt (data build tool). This role will be pivotal in building a scalable and reliable data infrastructure to support analytics and data-driven decision-making across the business.

The Analytics Engineer will act as a bridge between data engineers and data analysts, applying software engineering best practices to the analytics workflow. This includes developing, testing, and deploying data models, as well as ensuring data quality and creating robust documentation.

Key Responsibilities :

The successful candidate will be responsible for :

- Data Modelling and Transformation : Designing, developing, and maintaining scalable and efficient data models and transformation pipelines in Snowflake using dbt.

- Workflow Management : Building and managing data transformation workflows, ensuring data is timely, accurate, and ready for analysis.

- Data Quality and Governance : Implementing data quality tests and documentation to ensure the reliability and trustworthiness of the data. This includes supporting data governance and quality assurance activities.

- Collaboration : Working closely with data analysts, data engineers, and business stakeholders to understand data requirements and deliver actionable insights. The role involves engaging directly with stakeholders and building their confidence in data-driven outcomes.

- System Optimisation : Identifying opportunities to improve data processes, optimise performance, and ensure the scalability of the data platform.

- Technical Expertise : Acting as a subject matter expert on dbt and Snowflake, providing guidance and best practices to the wider data team.

Candidate Profile :

The ideal candidate will possess a strong technical background combined with excellent analytical and communication skills.

Essential Experience and Qualifications :

- A Bachelor's degree in a quantitative field such as Data Science, Computer Science, or a related discipline.

- 2-4 years of hands-on experience in a data-focused role, with proven experience in data modeling and transformation.

- Advanced proficiency in SQL for complex querying and data manipulation.

- Demonstrable experience with dbt and cloud data warehouses, particularly Snowflake.

Desirable Skills :

- Proficiency in Python for data handling and automation.

- Experience with ETL processes and data integration via APIs.

- Familiarity with data visualization tools such as Power BI or Tableau.

- A strong understanding of data governance frameworks and data security protocols.

- Exceptional problem-solving skills and a high level of attention to detail.

- The ability to translate complex technical concepts for non-technical audiences.

- A collaborative spirit and a commitment to continuous professional development.

(ref:hirist.tech)

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