Director/Vice President

Director of Data Analytics || CHB003 (Remote)

Preferable Location: Gurugram, Hyderabad, Bengaluru, Chennai, Mumbai, Pune   |   Full Time

Hiring for a leading SAAS product company - Remote

Looking for a candidate with working experience in Data Engineering & Data Science who can able to lead and manage both teams. 

#director #dataengineer #dataanalytics #etl #saas #ML #datascience #


  • 10-18 years of experience leading large teams including mid-level senior to associate level in a remote and distributed setup.  
  • 5+ years of proven experience in areas of Analytics/Data Science/Data Engineering or Quantitative fields in the large scale environment 

  • Guiding teams through planning, development, rollout, and migration.

  • Ability to translate data and technical concepts into requirements documents and user stories for  Data engineering as well as Data Science. 

  • Managing teams in rapid product development, including remote and offshore teams

  • Success building culture of innovation, ownership, accountability, and customer focus

  • Building and scaling a SaaS product

  • Good communication and presentation skills with ability to interact with different cross-functional teams varying levels 

  • Ability to learn new tools and in data engineering and science.

Technical skills:

  • Experience in creating enterprise scale data engineering pipelines, data-based decision-making, and quantitative analysis. 

  • Knowledge in ETL/ELT data pipeline design, development and performance tuning in Big Data ecosystem.

  • Experience working with Data warehousing tools, including DynamoDB, SQL, Amazon Redshift, and Snowflake

  • Experience architecting data products in Streaming, Serverless and Microservices based Architecture and platform.

  • Exposure in building global scale cloud-native systems and modern tech stack: AWS, Java, Spring Framework, RESTful API, and container-based application.

  • Working knowledge of Data warehousing, Data modeling, Governance and Data Architecture

  • Experience of any industry standard ETL/workflow Tools (Mulesoft/Infa/Talend/airflow etc) and BI visualisation tools (Tableau, Looker etc)

  • Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.

  • Exposure with complex, high volume, multi-dimensional data, as well as AI/ML  models based on unstructured, structured, and streaming datasets 

  • Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems.

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