Functional Engineer Reporting

6 - 10 years

4 - 7 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 

Functional Engineer Reporting Delivery

As an Analytical Engineer, you are at the intersection of data, technology, and business value. Your primary responsibility is to design and implement robust, scalable data models that power analytics, reporting, and data-driven decision-making across the organization. You will work closely with stakeholders to translate business needs into technical requirements, ensuring our data solutions align with global standards, information security, and architectural guidelines.
Your role involves understanding requirements, designing and developing enterprise data models, writing clean and efficient code, and creating clear and comprehensive data documentation. You will be a key player in standardizing data projects, ensuring consistency and quality across our enterprise data landscape. By fostering communication between technical and business teams, you help bridge the gap between raw information and actionable business insights.
You will actively participate throughout the project lifecycle from initial requirement gathering and development, testing, and change management. Working in an Agile/DevOps environment, you will help prepare, coordinate, and execute changes, collaborating with internal teams and external partners as needed. You may also be called upon to assist with urgent incidents and contribute to ongoing process improvements.
Above all, you are an enthusiastic learner who embraces new challenges, enjoys working collaboratively, and is passionate about using data to create real business value. Your work is fundamental to ensuring that our data solutions not only meet current needs, but also scale to support the future growth and success of the company.
Key Accountabilities

Responsibilities:

  • Collaborate with stakeholders to understand business needs and translate them into scalable

    data models

    .
  • Develop and optimize

    data models

    (fact dimension models, semantic layers) for efficient querying and reporting.
  • Develop

    semantic models

    to enhance self-service analytics and reporting.
  • strong understanding of data modeling principles, including the

    Kimball dimensional modeling

    approach
  • Implement and manage

    Delta Lake tables

    for structured, reliable, and high-performance data storage.
  • Ensure proper

    data governance

    and security using

    Unity Catalog

    .
  • Automate data workflows using

    Python, DevOps practices

    , and CI/CD pipelines.
  • Work on

    performance tuning

    of Databricks workloads, optimizing storage and processing efficiency.
  • Support

    data visualization

    teams by providing well-structured datasets for tools like

    Power BI

    .
Experience

Skills Qualifications:

  • experience in

    Azure Databricks

    or similar big data platforms.
  • Strong expertise in

    data modeling

    (fact, dimension, and semantic models).
  • Proficiency in

    Python

    ,

    SQL

    , and

    PySpark

    for data processing.
  • Hands-on experience with

    Delta Lake and Unity Catalog

    .
  • Knowledge of

    Azure services

    related to data processing (ADLS, Synapse, ADF) is a plus.
  • Good understanding of

    ETL/ELT workflows

    and best practices.
  • Excellent communication, writing/documentation and facilitation skills in English
  • Experience with

    SAP data ingestion and transformation

    is a plus.
  • Experience with

    SAP BW

    or

    SAP HANA

    is a plus
  • Experience with

    data visualization tools

    like

    Power BI

    or

    Tableau

    is a plus.

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