Team Lead - Data Engineering

Skills:
Big Data Technologies, Data Modeling, ETL Processes, Data Warehousing, Team Management, Technical Leadership, Data Engineering, Data Visualization,

Company Overview

At Google Operations Center, we provide caring and knowledgeable support for Google users and customers. From troubleshooting product issues to offering around-the-clock advertiser assistance, you can be part of the teams that help users solve problems and accomplish their goals. Operating within the IT Services and IT Consulting industry, we have a strong team of 5001-10000 employees headquartered in Hyderabad. Learn more at our website.

Job Overview

The role of Team Lead - Data Engineering is a senior-level position located in Bangalore Urban, Bangalore. This is a full-time opportunity that demands a strategic thinker to lead and manage the data engineering team. The individual will drive the development of data solutions and ensure alignment with business needs while fostering an environment of continuous improvement.

Qualifications And Skills

• Strong expertise in Big Data Technologies, including proficiency in handling large datasets efficiently.
• Experienced in Data Modeling with the ability to design and implement models that support business operations.
• Proven understanding of ETL Processes to facilitate the extraction, transformation, and loading of data.
• Skilled in Database Administration for both relational and non-relational databases.
• Experience in Data Warehousing to support storage, retrieval, and management of complex data.
• Proficiency in Data Governance with an emphasis on data quality and compliance practices.
• Demonstrated Team Management skills to lead a diverse team of data engineers efficiently.
• Exemplary Technical Leadership abilities to drive technical innovations and mentor team members.
  
  

Roles And Responsibilities

• Lead and manage the data engineering team to deliver high-quality data solutions.
• Oversee the design, development, and implementation of complex data systems and solutions.
• Ensure data integrity and quality across all data engineering activities.
• Collaborate with cross-functional teams to align data initiatives with business objectives.
• Drive continuous improvement initiatives within the data engineering team.
• Mentor and guide team members to achieve their professional development goals.
• Implement best practices in data governance and data management processes.
• Report on data engineering metrics to senior management regularly.