Data Engineer

<p></p> <p><span style="text-decoration: underline;"><strong>About the Role</strong></span></p> <p>We are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures. The ideal candidate has deep hands-on experience with Snowflake or Databricks, has built scalable data pipelines, and is proficient in Azure cloud services.</p> <p><span style="text-decoration: underline;"><strong>Key Responsibilities</strong></span></p> <ul> <li>Design, build, and maintain scalable data pipelines and ETL/ELT workflows.</li> <li>Develop and optimize data lake and data warehouse solutions using Snowflake and/or Databricks.</li> <li>Implement data ingestion, transformation, and processing frameworks for structured and unstructured datasets.</li> <li>Work closely with cross-functional teams (Data Analytics, Data Science, Product, Engineering) to support data consumption needs.</li> <li>Build reusable and modular data pipeline components aligned with best practices.</li> <li>Implement data quality validation, reconciliation, and monitoring controls.</li> <li>Optimize performance for data storage, compute, and query execution.</li> <li>Ensure adherence to data governance, security standards, and compliance requirements.</li> <li>Participate in solution architecture discussions and contribute to technical design decisions.</li> </ul> <p><span style="text-decoration: underline;"><strong>Required Skills &amp; Experience</strong></span></p> <ul> <li>7–8+ years of hands-on experience as a Data Engineer.</li> <li>Strong experience in Snowflake and/or Databricks (any one is fine, both preferred).</li> <li>Hands-on experience on Azure Cloud (e.g., Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps).</li> <li>Expertise in SQL and performance tuning for large datasets.</li> <li>Experience developing ETL/ELT pipelines using modern data frameworks.</li> <li>Proficiency with scripting languages such as Python or Scala.</li> <li>Experience with data modeling techniques (star schema, normalized models, dimensional modeling).</li> <li>Experience with CI/CD for data pipelines and version control (Git).</li> <li>Exposure to data governance, metadata management, and data quality frameworks.</li> </ul> <p></p>