Lead Engineer

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: 9–12 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)