<p><p><b>Position : </b> Lead Data Engineer<br/><br/><b>Experience range</b> 10+ years<br/><br/><b>Primary Skills/Mandatory Skills : </b> Snowflake, Python, DBT, Prefect, Git, AWS, Azure, Experience with data warehousing, and data modelling.<br/><br/><b>Job description : </b><br/><br/></p><p>We are seeking a talented and motivated Lead Data Engineer.
You will be working closely with our Client Lead data engineer to perform data validation and build data pipelines.<br/><br/><b>Responsibilities : </b><br/><br/></p><p>- Design, develop, and maintain data pipelines and infrastructure<br/><br/></p><p>- Ensure data is clean, accurate, and accessible<br/><br/></p><p>- Build and maintain data warehouses, data lakes, and other data storage solutions<br/><br/></p><p>- Develop and maintain ETL processes<br/><br/></p><p>- Collaborate with other engineers, data architect, ETL developers, and stakeholders to ensure that our data infrastructure meets business needs.<br/><br/></p><p>- Stay up to date with the latest developments in data engineering and recommend new tools and techniques to improve our data : </b></p><p><br/></p>- At least 6 years of experience in data analyst, data engineering or a related field<br/><br/></p><p>- At least 3 years of experience using Snowflake<br/><br/></p><p>- At least 3 years of experience using DBT<br/><br/></p><p>- Strong knowledge of SQL, Prefect, DBT, Git<br/><br/></p><p>- Experience with cloud-based data storage solutions such as AWS<br/><br/></p><p>- Experience with data warehousing, data lakes, and data modelling<br/><br/></p><p>- Strong problem-solving skills and ability to work independently</p><br/></p> (ref:hirist.tech)