Data Technical Lead (Data Engineering Manager)

Lead clients discussions going from defining the problem, Advising on the solution (Data Architecture, Best practices guidance) and supporting implementation.
• Lead the design, development, and maintenance of efficient data pipelines.
• Create robust data products that leverage cloud Data platforms such Azure Synapse, Snowflake and Databricks
• Use cloud services to build scalable, reliable, and efficient data solutions.
• Help translate data and analytics requirements into data solutions based on the approved technical designs.
• Define the technology stack, best practices, and standards for data engineering and analytics.
• Enable test automation and ensure CI/CD pipelines are in good health.
• Implement monitoring of data applications and track product quality, performance, and stability.
• Carry out effective technical design reviews to ensure that the right architecture patterns are used by the team.
• Optimize and fine-tune data processing workflows for performance and reliability.
• Identify and resolve issues within organizations and processes.
• Educate clients and partners about the data analytics landscape.
• Provide guidance on industry trends, emerging technologies, and best practices.
• Lead a team of Data Engineers to thrive by promoting teamwork, providing guidance, and encouraging skill enhancement.

Qualification
Must have requirements:
• 8-10 years of experience with strong understanding & familiarity with project management techniques
• Established experience with project management programs, SCRUM, and different variants of AGILE techniques, along with familiarity with code management and Continuous Integration/Delivery Implementation (CI/DI).
• Familiar with tools like JIRA, Trello, Azure Devops etc.
• Managing outcome led technical programs and technical activities in accordance with the agreed project scope
• Experience in Data Transformation using ETL tools / cloud engineering (Azure, AWS, GCP)
• Proficiency in developing code using SQL/HSQL
• Experience in enterprise level database and data warehousing projects using SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc
Good to have:
• Proficiency in Python development is a plus
• Certifications like PMP is good to have
• Experience in Financial Services is nice to have