Engineering Group Lead
19 hours ago
Role: Group Lead – Data EngineeringExperience: 15 – 18 YearsCTC: 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 mathematicsDomain 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 methodologiesExperiences- Experience leading and managing cross-functional teams- Expertise in applying cloud technologies within a DataOps and DevOps frameworkIndividual 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
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