Data Engineer

• Be a part of fastest growing GCC!!
• Experience the French Culture by working for French based beauty tech!!!

About Our Client Our client is working today to create the Beauty that moves the world, powered by Tech & Data. This ambition relies on 2 main pillars: to create the Beauty of the future and to transform the Company of the future. We are transforming IT to pivot to this Beauty Tech ambition accelerating and laying down the right Tech foundations & capabilities. Together we are building the IT of the Future.To enable Beauty Tech, while operating in an extremely challenging environment, the IT organization needs to constantly adapt and be strongly connected with new market trends and structural shifts. With that in mind, our IT organization must demonstrate flexibility and resilience, agility, and proximity to the markets, while delivering globally at scale with efficiency and customer and employee centricity. The creation of the Tech Hub in India is part of this strategy

Job Description

• Translate Business Needs into Data Marts: Collaborate with business stakeholders to gather and analyze requirements, translating them into well-defined data marts (Consumption Datasets) within BigQuery,
• Design and Develop ETL Processes: Design, develop, and maintain efficient and reliable ETL pipelines, adhering to the BTDP framework (Custom framework based on GCP components and Terraform for developing on Beauty Tech Data Platform).
• Optimize for Performance and Cost: Continuously monitor and optimize the performance and cost of BigQuery queries and data storage. Implement best practices for partitioning, clustering, and query optimization to minimize costs and maximize efficiency.
• Ensure Data Accuracy and Integrity: Implement data quality checks and validation processes throughout the ETL pipeline to ensure data accuracy and integrity.Job Objectives:
• Translate Business Needs into Data Marts: Collaborate with business stakeholders to gather and analyze requirements, translating them into well-defined data marts (Consumption Datasets) within BigQuery,
• Design and Develop ETL Processes: Design, develop, and maintain efficient and reliable ETL pipelines, adhering to the BTDP framework (Custom framework based on GCP components and Terraform for developing on Beauty Tech Data Platform).
• Optimize for Performance and Cost: Continuously monitor and optimize the performance and cost of BigQuery queries and data storage. Implement best practices for partitioning, clustering, and query optimization to minimize costs and maximize efficiency.
• Ensure Data Accuracy and Integrity: Implement data quality checks and validation processes throughout the ETL pipeline to ensure data accuracy and integrity.

The Successful Applicant A Successful Data Engineer Should Have

What's on Offer

• Proficient in BigQuery, Dataflow, Cloud Build, SQL, Terraform, Git, experience with data modeling (dimensional modeling, star schema), ETL processes, and GCP cost optimization; LookML experience is a plus.
• BigQuery: Extensive experience designing, developing, and optimizing data warehouses and data marts within BigQuery, including deep knowledge of its architecture, partitioning, clustering, and performance tuning.
• Cloud Build: Proficiency in building and maintaining complex ETL pipelines using these and other relevant GCP services for data extraction, transformation, and loading.
• SQL: Advanced proficiency with a focus on query optimization and performance tuning within BigQuery.
• Terraform: Proven experience managing GCP infrastructure as code, specifically BigQuery resources.
• Git: Proficiency with Git and version control best practices.
• Data Modeling: Strong skills in designing dimensional models and star schemas, translating business requirements into efficient data structures.
• GCP Cost Optimization: Ability to estimate, track, and minimize GCP costs related to data processing and storage.
• ETL: Experience designing, building, and maintaining complex ETL processes.
• Collaboration and Communication: Excellent interpersonal and communication skills for effective collaboration with stakeholders.
• An opportunity to work with a leading organization in the Beauty Tech.
• Competitive compensation based on experience and expertise.
• Exposure to cutting-edge technology and data engineering practices.
• A collaborative and professional work environment in Hyderabad.
• Chance to contribute to impactful projects in the Cosmetics and Toiletries industry. If you are a driven Data Engineer looking for a challenging yet rewarding opportunity, we encourage you to apply.

Contact Quote job ref: JN-062026-7050129