Key Responsibilities
- Lead and deliver data-related product implementation.
- Lead and execute business data projects.
- Lead and mentor Teams.
- Direct the implementation of Data Cloud technologies (Azure/Snowflake/Data Bricks/ Data Science S/w Hub) using industry best practices.
- Develop, document, maintain and support elegant data solutions
- Develop documentation of the data architecture, flow, and warehouse models.
- Provide resolution to complex data pipeline-related problems.
- Deploy Snowflake features such as data sharing, events, and lake-house patterns. Leverage Snowflake utilities such as SnowSQL, SnowPipe, and Big Data modeling techniques using Python.
- Manage Azure services such as ADLS, Azure Data Factory, Azure Data Lake Gen 2, Azure Synapse, Azure Monitor, Azure DevOps, Azure Key Vault, and Azure Analysis.
Required Skills / Must-Have
- Snowflake
- ADLS, Azure Data Factory, Azure Data Lake Gen 2
- ETL / ELT, Data warehousing.
- SQL/Python
- At least 9-12 years of total experience with a minimum 5 years of experience in data platforms. Must have implemented and/or worked on 3-5 modern data platforms.
- Design and implementation of large-scale modern data platforms on the cloud.
- Data warehousing and Business Intelligence, including design, development, and implementation of Enterprise Data Hub.
- Migration of On-Prem RDBMS to Snowflake.
- CI/CD pipelines and configurations.
- Ingestion, Identification, analysis, and interpretation of trends in complex data sets.
- Data analysis, lineage, pipelines, quality, reconciliation, transformation rules, and flow diagrams.
- Design and delivery of systems based on Azure IaaS, PaaS, and SaaS.
- Lead Data Engineer, Snowflake + ADF.
Additional
- Strong written and verbal communication skills in English are a must.
- Demonstrated experience working collaboratively in cross-functional teams. Must be self-motivated, responsive, professional, and dedicated to customer success.
- Possess an innovative, problem-solving, and solutions-oriented mindset.
Experience: 912 years Data Warehousing
Certifications: Snowflake Developer, Azure (preferred)
Nice-to-Have / Preferred Skills
- Data Modeling/ Dimensional Modeling.
Education & Qualifications
- Primary / Preferred Education
- Bachelor's or Master's degree in computer/software engineering from a reputed tier-1 or tier-2 institute/university.
Certifications/Licenses
- Snowflake/ Azure certified (preferred)
