Manager - Data Engineering and Analytics

Job Locations IN-Pune
Requisition ID
20050439
Job Category
Research and Development
Travel Requirements
None

  • Lead a team of data engineers & data scientists and guide them with the best data & analytical strategies in line with business needs
  • Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
  • Provide thought leadership in state-of-the-art machine learning techniques
  • Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
  • Continuously look for data optimization processes and oversee data management, governance, security, and analysis
  • Hire the best talents, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
  • Manage data delivery through high-performing dashboards, visualizations, and reports
  • Ensure data quality and security across every product vertical and related areas
  • Design, create and launch new data models and pipelines as per needs
  • Act as a project manager for data projects, mentor and grow the team by hiring skilled data engineers
  • Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system
  • Mentor and grow data warehouse, data modeling, and data visualization team to correctly establish a data-driven culture
  • Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products
  • Ensure test-driven products/pipelines that are easily maintainable and reusable
  • Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
  • Overall build and maintain data foundations that include tools, infrastructure, and pipelines that help the marketing and sales team
  • Increase automation and build analytic solutions at scale to serve the business requirements

Here are some skills that are required to become a data engineering manager.

Data Engineering Manager & Analytical Skills: What Are The Required Skills?

  • Minimum 5+ years of experience in managing, designing, and maintaining large scale data solutions

  • Hands-on experience analyzing, architecting/re-architecting data and analytics platforms on Azure/AWS/GCP

  • Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data

  • Experience designing and implementing data ingestion solutions on Azure/AWS/GCP using different approaches

  • Experience with MLOps – scalable development to deployment of complex data science workflows

  • Strong project management skills and team management experience with managerial abilities to handle a team of data & analytics enthusiasts

  • Advanced working SQL knowledge and experience working with a variety of relational databases, query languages, query authoring, and related tools

  • Shipped production, enterprise scale data products

  • Ability to collaborate with people at all levels and with multi-office/region teams

  • Experience managing engineers & SDET and guiding them through project planning, design, development, quality control, and deployment

  • Experience offering thought leadership in data & analytics engineering practices to inspire the teams.

  • Equivalent degree in Computer Science, Math, Statistics, Information Systems, Informatics, Analytics, or another quantitative field

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