Engineering Group Lead

Role : Group Lead – Data Engineering

Experience : 15 – 18 Years

CTC : Up to 90 LPA (including variable)

Location : Ahmedabad (Work from office, Hybrid)

Primary Responsibilities

Manage strategy and allocation of data engineering resources for cross-functional delivery teams within the region

Hiring governance for external and internal data engineer resources globally

Lead the design and development of technical training programs for data engineers

Establish and enforce best practices and controls for data engineering at scale

Conduct thorough code reviews to ensure solution consistency and accuracy across all teams

Architect and build robust frameworks for data ingestion, processing, integration, and governance

Manage a pipeline of platform and framework improvements to enhance the cloud analytics platform’s efficiency and security

Develop and evaluate new technologies and tools for data engineering teams

Collaborate with software vendors to align their products with our needs and drive innovation

Work closely with product owners, stakeholders, and executives to identify and mitigate potential data challenges.

Qualifications

Bachelor’s degree in Computer Science, Statistics, Business, Information Technology, or a related field (Master degree preferred)

Overall 18 Years with 6+ years of experience in data engineering or architecture roles

Expert in software development, including design patterns and framework development

Expert in core Python programming language (not limited to PySpark or analytical libraries)

Expert SQL development and deep analytical skills

Expert with automated code testing (pytest / unittest) and data testing (great expectations / dbt / etc)

Proven experience with data warehousing solutions (e.g., Snowflake, BigQuery)

Solid experience with major cloud computing services and infrastructure (Azure preferred)

Expert knowledge of database technologies (relational, NoSQL, BigData, cloud databases)

Familiarity with BI tools (Tableau, Power BI, Alteryx, Looker)

Familiarity with the Linux operating system

Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and / or applied mathematics

Domain Expertise

5+ years of experience building enterprise-level data solutions

Proven ability to design and build data frameworks and platforms on major cloud providers

Demonstrated experience creating data assets for mission-critical applications

Proven experience applying DevOps (Build + Run + Support) practices in the data domain

Experience with Agile methodologies

Experiences

Experience leading and managing cross-functional teams

Expertise in applying cloud technologies within a DataOps and DevOps framework

Individual Skills

Excellent communication skills, with the ability to explain complex technical concepts clearly and concisely

Strong problem-solving skills with the ability to analyze complex information and present it effectively

Proven ability to collaborate effectively with teams to create innovative solutions.

Mindsets and Behaviors

Passionate about technology and excited about the impact of emerging / disruptive technologies

Proven learning agility on both the technical and business process realms

Wants to unleash inner self-starter and work in an environment that fosters entrepreneurial minds

Believes in culture of brutal transparency and trust and open to learning new ideas outside scope or knowledge