Manager 1, Domo Data Engineer

Manager 1, Domo Data Engineer-2507034581W

Description

 

Manager – Domo Data Engineer

Who we are

 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.

 

What you will do 

As a Data Engineer in the Global Analytics team, you will play a crucial role in designing, building, and maintaining scalable data pipelines and data models. You will work with cutting-edge technologies such as Snowflake, Python, Databricks and Azure Services to enable data-driven insights and support various analytics initiatives across the organization.

 

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain robust data pipelines to ingest, transform, and store data from diverse sources into Snowflake and DOMO ETL systems. other data storage solutions.

§  Strong understanding and experience (5+ years) of DOMO ETL and best practice. Experience of designing and implementing data marts, data lakes or data warehouses using Domo

• Data Modeling: Collaborate with data analysts and business stakeholders to create and optimize data models that meet analytical requirements and support reporting needs.
• ETL Processes: Implement ETL processes using DOMO and other tools to ensure data integrity, quality, and availability for analytics and reporting.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver relevant datasets for analysis.
• Proactive approach to solution designing becoming a “trusted advisor” within the team.
• Performance Optimization: Monitor and optimize the performance of data pipelines and data models, ensuring efficient processing and quick turnaround times.
• Documentation: Maintain clear and comprehensive documentation of data pipelines, architecture, and processes to support knowledge sharing and future development.
• Cloud Infrastructure: Utilize Azure services to deploy and manage data solutions, ensuring security, scalability, and reliability.
• Troubleshooting: Identify and resolve data-related issues, ensuring data quality and accuracy across all analytics initiatives.

 

What we are looking for

Required Qualifications:

Must have:

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• Proven experience (8+ years) as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and best practices with at least 2+ in DOMO data engineering
• Proficiency in Python for data manipulation, pipeline development, and automation.
• Experience with Snowflake, including data warehousing concepts and SQL for querying and managing data.
• Familiarity with Databricks for data processing and analytics workflows.
• Knowledge of Azure cloud services and architecture, particularly in relation to data storage and processing.
• Experience with DBT (Data Build Tool) for transforming data and managing data models.
• Strong analytical and problem-solving skills, with attention to detail and a commitment to data quality.
• Excellent communication skills to collaborate effectively with technical and non-technical stakeholders.

Qualifications

 

Nice to have:

• Experience with data visualization tools (e.g., Tableau, Power BI) for creating reports and dashboards.
• Familiarity with orchestration tools.
• Knowledge of machine learning concepts and techniques.

 

Primary Location

 Asia Pacific-India-Karnataka-Bangalore

Job Function

 Digital Product Development