Data engineering lead

2 months ago

Ahmedabad, India Welspun Transformation Services Limited Full time
As a Data Engineering Lead, you will be responsible for managing and leading the data engineering team in our IT department. You will play a crucial role in designing, building, and maintaining our data infrastructure, data processing systems, and data pipelines. You will also be responsible for implementing data visualization tools and techniques to help the business make data-driven decisions.
Responsibilities
Lead and manage the data engineering team, ensuring high performance and smooth workflow.
Design, construct, install, test, and maintain highly scalable data management systems.
Develop and implement data pipelines, ensuring robustness and data quality.
Collaborate with data scientists and architects on several projects.
Use Azure Databricks for big data analytics and processing.
Implement ETL processes and work closely with the Dev Ops team to automate them.
Use SQL and Python for data querying and analysis.
Implement data visualization tools and techniques to present data in a way that is easily understandable for non-technical team members.
Use Microsoft Fabric for data integration and processing.
Apply strong analytical thinking to interpret data and make strategic decisions.
Ensure data privacy and comply with all relevant data protection regulations.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets.
Provide technical expertise and recommendations in assessing new IT software projects and initiatives to support and enhance our existing systems.
Conduct team meetings and provide training to team members as necessary.
Stay updated with the latest industry trends and technologies to ensure the company's data infrastructure is up-to-date.
The Data Engineering Lead should be a strategic thinker, excellent team leader, and a problem-solver with a strong analytical mindset. The ability to manage and interpret large amounts of data is crucial for this role.

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