Senior Staff Engineer, Data Engineer (Data Modeling)
Remote, India
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- @nagarro 𝕏
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Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.Company Description
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job Description
REQUIREMENTS:
- Total experience 10+years.
- Hands-on experience in Data Engineering.
- Experience in working with ETL processes and data pipeline development.
- Exposure to process mining tools, especially Celonis.
- Familiarity with cloud platforms or enterprise data warehouses (e.g., Snowflake, BigQuery, Azure, AWS).
- Proven experience with SQL development and data manipulation.
- Strong hands-on experience in data modeling, especially in a relational database environment.
- Understanding of core enterprise systems' data structures (ERP, CRM).
- Previous experience in roles involving process improvement, technical consulting, or business analysis.
- Strong problem-solving skills and ability to work collaboratively with cross-functional teams
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project.
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it.
- Determining and implementing design methodologies and tool sets.
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs.
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure BigQuery Computer Science Consulting Engineering ETL RDBMS Snowflake SQL
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