drjobs Data Engineer SQL, Python with GCP, PowerBI and Fabric ecosystem

Data Engineer SQL, Python with GCP, PowerBI and Fabric ecosystem

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Job Location drjobs

Pune - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

RIN GCP/ PowerBI / Fabric ecosystem

We are looking to hire a Data Engineer to support our expanding data infrastructure and reporting capabilities. The ideal candidate will have handson experience with cloud platforms data modeling and automation frameworks with a focus on both Google Cloud Platform (GCP) and the Microsoft Power BI / Fabric ecosystem. This role requires strong technical skills and the ability to collaborate crossfunctionally to deliver scalable maintainable data solutions.

Project Overview:
Our team is responsible for designing and developing a centralised data engineering platform that consolidates customer subscription and revenue data from a wide variety of systems including Snowflake Cloud SQL Oracle Salesforce and manually uploaded sources like Performance Pulse.
As part of our initiative we cleanse enrich and transform raw data into a unified reliable format that powers critical business reporting. This enriched data forms the foundation for Power BI dashboards and reports used by multiple downstream teams including Customer Experience Marketing Sales Product Analytics and Operations.
Our platform also integrates with tools like HubSpot Qualtrics and Amplitude enabling seamless data flows between systems. It plays a key role in delivering a crossfunctional view of customer and business metricsdriving informed decisionmaking and operational efficiency across the organization.

Professional Experience:

  • 2 years of experience in data engineering or a similar role.
  • Handson experience with cloudbased data platforms (GCP/Azure).
  • Exposure to SQL PL/SQL and Python for data transformation and integration.
  • Practical understanding of data pipelines ETL processes and data modeling.
  • Experience in creating Power BI reports and dashboards for business analytics and stakeholder reporting.
  • Comfortable working in agile crossfunctional teams and collaborating with diverse stakeholders.
  • Strong analytical thinking communication and adaptability to evolving technologies.

Qualifications :

Mandatory Technical Skills:

  • Proficiency in SQL: writing and optimizing sql scripts procedures functions triggers.
  • Strong knowledge of SQL query optimization indexing and performance tuning.
  • Handson experience in Python for automation data integration and pipeline development.
  • Proven experience using Power BI for building reports and dashboards.
  • Working knowledge of Microsoft Fabric including:
    • Fabric Warehouse.
    • Semantic Models
    • Dataflows (Gen1 & Gen2)
    • Data Pipelines
  • Solid understanding of DAX (Data Analysis Expressions) and Power BI data modeling principles.
  • Exposure to PowerApps for enhancing user workflows.

Optional / NicetoHave Skills:

  • Handson experience with Google Cloud Storage and BigQuery.
  • Understanding of Cloud Run and Cloud Functions for deploying services and automations.
  • Experience with Google Workflows and Cloud Scheduler for task orchestration.
  • Experienced in designing and optimizing ETL workflows for data integration and migration.
  • Familiarity with version control systems (e.g. Git) and coding standards for managing PL/SQL codebases.
  • Working knowledge of Terraform to manage GCP resources using infrastructure as code.
  • Experience with GitLab CI/CD pipelines for automating deployments and managing database or data platform migrations.

Soft Skills & Collaboration:

  • Excellent verbal and written communication skills.
  • Strong collaboration experience with data engineers analysts PMs and other stakeholders.
  • Proven ability to mentor and guide team members on best practices and technical standards.
  • Selfmotivated with a proactive approach to improving data systems and solving problems.
  • Comfortable working in agile teams balancing individual ownership with team goals.


Additional Information :

  • Enjoy a flexible and rewarding work environment with peertopeer recognition platforms. 
  • Recharge and revitalize with help of wellness plans made for you and your family. 
  • Plan your future with financial wellness tools. 
  • Stay relevant and upskill yourself with career development opportunities

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • EmployeeAssistanceProgram (EAP)

About NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through stateoftheart platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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Our commitment to Diversity Equity and Inclusion

NIQ is committed to reflecting the diversity of the clients communities and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce measurement and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative ActionEmployer making decisions without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability status age marital status protected veteran status or any other protected class. Our global nondiscrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:  Work :

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Employment Type :

Fulltime

Employment Type

Full-time

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