Head Data Engineering – Mumbai – upto 50L CTC – 7+yrs Exp

Job Category: Senior Management
Job Type: Full Time
Job Location: Mumbai
Salary: upto 50L
Years of Experience: 7+yrs

Job Description:
As the Head of Data Engineering & Data Analytics, your primary responsibility is to oversee
the design, development, and maintenance of the infrastructure necessary for the collection,
storage, and processing of large volumes of data. You will play a pivotal role in supporting
business functions like growth, marketing, product design, underwriting, collections, claim
settlement, and more by making informed data-driven decisions.

  • Define and build scalable data pipelines, design data models, and ensure data integration
    from different systems and sources.
  • Implement data quality checks, monitoring, and governance processes to maintain data
    integrity and regulatory compliance.
  • Continually improve data processing and storage performance to ensure efficient data
    retrieval and analysis.
  • Develop and maintain automated data workflows and processes to streamline data
    operations and reduce manual intervention.
  • Manage the data infrastructure, including databases, cloud-based services, and storage
  • Collaborate closely with cross-functional teams to understand their data needs and provide
    data engineering support for various projects and initiatives.
  • Identify and resolve data-related issues, ensuring data availability and reliability for
  • Define metrics for business processes and develop metric dashboards to track success
    and performance metrics.
  • Stay up-to-date with industry trends and best practices, adopting new technologies and
    methodologies that enhance data engineering processes.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud-based data
    platforms (e.g., AWS, Azure, GCP).
  • Experience with data modelling, ETL processes, and data integration techniques.
  • Strong understanding of database systems (e.g., SQL, NoSQL) and data warehousing
  • Problem-solving skills and the ability to optimise data processes for performance and
  • Excellent communication and teamwork abilities to collaborate effectively with
    cross-functional teams.
  • Hands-on experience with SQL and any BI platform (Tableau, PowerBI, Qlikview, Looker,
    Quicksight, etc).
  • Conceptual understanding of basic statistical concepts (Sampling, Distributions, Central
    tendency, Hypothesis testing, etc).
  • Ability to identify relevant data to solve business problems and (in)validate hypotheses.
  • (Good to have) Prior data modelling experience in R/Python and some classification and/or
    regression techniques.

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