Senior Data Engineer GCP
Senior Data Engineer GCP
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Job Description
Job Location
MumbaiJob Description
About Data Platforms Team:
We take pride in managing the mostvaluable asset of company in Digital World called Data. Our vision is to deliver Data as a competitive advantage for Asia Regional Business by building unified data platforms delivering customized BI tools for managers & empowering insightful business decisions through AI in Data. As a data solutions specialist youll be working closely with business stakeholders collaborating to understand their needs and develop solutions to solve problems in area of supply chain Sales & Distribution Consumer Insights & Market performance.
In this role youll be constantly learning staying up to date with industry trends and emerging technologies in data solutions. Youll have the chance to work with a variety of tools and technologies including big data platforms machine learning frameworks and data visualization tools to build innovative and effective solutions.
So if youre excited about the possibilities of data and eager to make a real impact in the world of business a career in data solutions might be just what youre looking for. Join us and become a part of the future of digital transformation.
About P&G IT:
Digital is at the core of P&Gs accelerated growth strategy. With this vision IT in P&G is deeply embedded into every critical process across business organizations comprising 11 category units globally creating impactful value through Transformation Simplification & Innovation. IT in P&G is subdivided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value & growth Digital GTM Digital Manufacturing Marketing Technologist Ecommerce Data Sciences & Analytics Data Solutions & Engineering Product Supply.
Click here to hear from the Functional Leader!
Responsibilities:
Development of data and analytics cloudbased platform including integrated systems and implementing ELT/ ETL jobs to fulfil business deliverables. Performing sophisticated data operations such as data orchestration transformation and visualization with large datasets. You will be working with product managers to ensure superior product delivery to drive business value & transformation. Demonstrating standard coding practices to ensure delivery excellence and reusability.
- Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments.
- Data Transformation: Implement data transformation processes including data cleansing normalization and aggregation to ensure data quality and consistency.
- Data Modeling: Develop and maintain data models and schemas to support efficient data storage and retrieval in Google Cloud platforms.
- Data Warehousing: Build data warehouses or data lakes using Google Cloud services such as Big Query.
- Data Integration: Integrate data from multiple sources both onpremises and cloudbased using Cloud Composer or other relevant tools.
- Data Governance: Implement data governance practices including data security privacy and compliance to ensure data integrity and regulatory compliance.
- Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google Cloud environments.
- Monitoring and Troubleshooting: Monitor data pipelines identify and resolve performance issues and troubleshoot datarelated problems in collaboration with other teams.
- Data Visualization: Build BI reports to enable faster decision making.
- Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation
- Documentation: Document data engineering processes data flows and system configurations for future reference and knowledge sharing.
Job Qualifications
Qualifications:
- Experience: Bachelors or masters degree in computer science data engineering or a related field along with 2 year work experience in data engineering and cloud platforms.
- Google Cloud Development: Strong proficiency in Google Cloud services such as Spanner Cloud Composers Looker Studio etc.
- ETL Tools: Experience with ETL (Extract Transform Load) tools and frameworks such as Spark and Cloud Composer/Airflow for data integration and transformation.
- Programming: Proficiency in programming languages such as PySpark Python and SQL for data manipulation scripting and automation. Data Modeling: Knowledge of data modeling techniques and experience with data modeling tools.
- Database Technologies: Familiarity with relational databases (e.g. Cloud SQL) for data storage and retrieval.
- Data Warehousing: Understanding of data warehousing concepts dimensional modeling and experience with data warehousing technologies such as Big Query.
- Data Governance: Knowledge of data governance principles data security privacy regulations (e.g. GDPR CCPA) and experience implementing data governance practices.
- Data Visualization: Experience of working with Looker Studio to build semantic data model & BI reports/dashboards.
- Cloud Computing: Familiarity with cloud computing concepts and experience working with cloud platforms particularly Google Cloud Platform.
- ProblemSolving: Strong analytical and problemsolving skills to identify and resolve datarelated issues. Proficiency in DevOps Tools and CICD tools (e.g. Terraform Github) Familiarity with Azure Databricks and its relevant tech stacks would be an advantage to the role.
At P&G the hiring journey is personalized every step of the way thereby ensuring equal opportunities for all with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website pgcareers or on our official social media pages for the convenience of prospective candidates and do not require them to pay any kind of fees towards their application.
Job Schedule
Full timeJob Number
RJob Segmentation
Experienced Professionals (Job Segmentation)Required Experience:
Senior IC
Employment Type
Full-Time
