As a Senior Data Engineer specializing in Snowflake, you will be responsible for designing, developing, and delivering data engineering solutions using modern cloud data platforms.

The candidate should have strong expertise in the data lifecycle, including data ingestion, transformation, and modeling, as well as experience with distributed data processing, data security, and integration with internal and external data sources.

Additionally, the candidate should be proficient in leveraging best practices in data architecture and performance optimization.

The role also requires the ability to drive end-to-end project delivery aligned with business objectives and ensure the realization of data-driven value.

Responsibilities :

- Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence and deployment infrastructure diagrams.

- Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.

- Experience with gathering end user requirements and writing technical documentation.

- Suggest innovative solutions based on new technologies and latest trends.

- Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.

- Work closely with client teams to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.

Requirements :

- Min 7+ years of experience working with Snowflake in a data engineering or architecture role.

- Familiarity with programming languages such as Python, Java, or Scala for data processing and automation.

- Strong expertise in SQL, data modeling and advanced query optimization techniques.

- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake.

- Proficiency in ETL/ELT tools such as ADF, Fabric, etc.

- Experience with data visualization tools like Tableau, Power BI, or Looker.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

- Ability to work in a fast-paced, dynamic environment.