Lead Data Engineer - Python / SQL

Description :

Relevant Experience : 7-10 years.

Job description :

• Lead the data engineering team by driving the design, build, test, and launch of new data pipelines and models on the production data platform.
• Define and implement the processes needed to achieve operational excellence in all areas, including agile development, and data solutions.
• Oversee the design, development and maintenance of data infrastructure, including data warehouses, data lakes, data integration components supporting optimal extraction, transformation, and loading of data.
• Leading the communication with vendors, clients, the leadership team, and other stakeholders to facilitate effective project management and provide ongoing support.
• Collaborate with business owners for roadmap planning and prioritization, to deliver robust cloud-based data solutions for our customers.
• Work closely with cross-functional teams to propel and execute necessary solution enhancements and provide support for existing solutions.
• Define and enforce best practices for data engineering, data modeling, and data quality to ensure accuracy, reliability, reusability, security and consistency of data.
• Evaluate and implement new technologies, tools, and frameworks to improve the performance and efficiency of the data engineering team.
• Lead the planning, prioritization, and execution and tracking of data engineering projects, ensuring timely delivery and alignment with business objectives.
• Establish and monitor key performance indicators (KPIs) to measure the performance and effectiveness of the data engineering team.
• Stay current with industry trends and advancements in data engineering, Azure Cloud, and provide strategic guidance for adopting new technologies or :
• 8-12 years of demonstrable experience in data engineering, analytics, data warehousing, data management, Data governance and Compliance Requirements.
• Experience managing data engineers and guiding a team of engineers through project planning, execution, tracking and monitoring, and quality control stages.
• Solid experience with cloud-based data tools and platforms.
• Proficient in implementing efficient cost management strategies, particularly about storage and computational expenses.
• Experience building processes supporting data transformation, data structures, metadata, security, governance, and workload management.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Expertise in designing and optimizing data models, RDBMS, NoSQL DBs, and data warehousing solutions.
• Excellent leadership, communication, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Proven ability to drive innovation, make strategic decisions and lead complex data engineering initiatives to successful completion.

Skill Required : Must Haves :

Good to Have :

(ref : hirist.tech)