Engineering Manager

Location

Pune | India

Job description

• Manages and coordinates the activities of direct reports
• Receives guidance from manager
• We are seeking a highly experienced and motivated Data Engineering Manager to lead our team of data & software engineers in building and maintaining our efficient, scalable data infrastructure that supports the analytical and operational needs of the company. As a Data Engineering Manager, you will be responsible for overseeing the design, development, optimization and deployment of our data pipelines, data warehousing solutions, and large-scale processing systems. You will also be responsible for managing the teams performance, ensuring that they are delivering high-quality work on time.

Management Responsibility & Functional Contribution:

• Sets priorities for the team to ensure task completion
• Coordinates work activities with other managers/leaders
• Manages the coordination of activities within own team, often including staffing, scheduling, budgeting, and work process
• Reviews work of team members upon completion for quality, provides coaching and mentoring to team members

Problem Solving & Critical Thinking:

• Identifies technical and operational challenges by analyzing multiple factors and/or leveraging the appropriate resources within or outside the functional area
• Decision making and problem solving are largely guided by policies, procedures and departmental plans

Leadership:

• Provides guidance to direct reports
• Drives engineering excellence and foster innovation
• Recommends changes to process and policies that affect immediate team
• Influence decisions through persuasion to drive consensus
• Execute ongoing goal setting, performance and development reviews according to the THRIVE process
• Define and execute detailed technical training plans according to the workforce planning strategy and learning objectives

Collaboration/Relationship Focus:

• Informs senior management of progress, risks related to key goals and objectives
• Collaborate across multiple areas and/or with other departments to achieve project objectives

Experience:

8+ years of experience as a Data Engineer, with at least 3 years of experience in a leadership role. Qualification: Bachelor s degree in computer science, Engineering, or related field; master s degree preferred. Responsibilities:

Lead and mentor a team of engineers in the design and implementation of high-performance data models, data integration, data warehousing solutions, and big data processing.

Collaborate with business stakeholders to understand data requirements and translate business needs into technical specifications.

Manage the development and deployment of scalable and efficient ETL processes, ensuring data quality and accessibility.

Accountable for high quality deliverables on schedule

Guide the team technically and perform hands-on technical tasks wherever required.

Oversee the design of database architectures that support both operational and analytical applications.

Implement data governance practices, including data security, privacy, and compliance with regulatory requirements.

Drive continuous improvement of data engineering practices and tools, staying ahead of industry trends and emerging technologies.

Develop and manage the data engineering teams budget, ensuring resources are allocated effectively to meet project timelines and company objectives.

Foster a culture of innovation and experimentation, encouraging the team to explore new data technologies and methodologies.

Coordinate with IT, security, and software engineering teams to ensure infrastructure aligns with the data strategy and performance needs.

Provide technical leadership in the resolution of complex data-related issues.

Skills required:

Proven experience as a Data Engineer, with a minimum of 3 years in a leadership role.

In-depth knowledge of SQL, data engineering concepts, including ETL processes, data warehousing, and data modelling, data pipelines, and data quality.

Experience with big data technologies, such as Hadoop, Spark, Kafka or similar frameworks.

Proficiency in languages such as Python and strong software design capabilities

Proficiency in Snowflake, Databricks, Apache NI-FI.

Familiarity with cloud platforms (Azure - Preferred, Amazon AWS, GCP) and associated data services and database technologies (Relational, NoSQL, Graph DBs)

Demonstrated ability to build and maintain large-scale data processing systems.

Proven track record of success in designing, developing, and deploying data infrastructure.

Excellent project management skills, with the ability to lead multiple projects simultaneously.

Exceptional communication and interpersonal skills, capable of articulating technical concepts to non-technical stakeholders.

Solid understanding of data governance, data security, and privacy laws.

Able to motivate & lead team of 6-8 Engineers. Should lead by example.

Excellent problem-solving and debugging skills.

Able to technically guide the team and review the code written by them

Qualification/Requirements:

• Bachelor s degree, or equivalent experience, in Computer Science, Engineering, or related field
• Experience utilizing Agile and Scrum software development methodologies
• Self-motivated, result oriented, problem solving attitude
• High: collaboration, drive for results, people focus, customer focus
• Demonstrable understanding of software engineering processes, including awareness of delivery requirements such as time and cost & an ability to recognize and manage performance with a focus on continuous improvement.

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