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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.
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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 (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in
Job Description- Architect, Design, document & implement the data pipelines to feed data models for subsequent consumption in Snowflake using dbt, airflow.
- Ensure correctness and completeness of the data being transformed via engineering pipelines for end consumption in Analytical Dashboards.
- Actively monitor and triage technical challenges in critical situations that require immediate resolution.
- Evaluate viable technical solutions and share MVPs or PoCs in support of the research.
- Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.
- Review work from other tech team members and provide feedback for growth.
- Implement Data Performance, Data security policies that align with governance objectives and regulatory requirements
- Close collaboration with Global functional product portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT) , product owners, functional area teams across levels.
- Partnering with Global Data Product Portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data Management).
- Communicate with consulting and internal Data Product Portfolio teams.
- Bachelor's degree or equivalent combination of education and experience.
- Bachelor's degree in information science, data management, computer science or related field preferred.
- 5+ years of IT experience with major focus on data warehouse/database related projects.
- Must have exposure to technologies such as dbt, Apache Airflow, Snowflake.
- Expertise in writing SQL and database objects.
- Stored procedures, functions, views.
- Hands on experience in ETL /ELT and data security, SQL performance optimization and job orchestration tools and technologies e.g., dbt, Attunity, Golden Gate, APIs, Apache Airflow, etc.
- Experience in data modeling and relational database design.
- Well-versed in applying SCD, CDC, and DQ/DV framework.
- Demonstrate ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket).
- Experience around responsibility for analyzing and interpreting financial data to provide valuable insights and support strategic decision-making.
- Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs).
- Excellent written, oral communication and presentation skills to present architecture, features, and solution recommendations
- Experience in data warehousing, data modeling, and the building of data engineering pipelines.
- Experience with data engineering methods, such as ETL and ELT techniques through scripting and/or tooling.
- Experience with analyzing performance bottlenecks and providing enhancement recommendations.
- Passion for customer service and a desire to learn and grow as a professional and a technologist.
- Stronganalytical skills related to working with unstructured datasets.
- Collaborating with product owners to identify requirements, define desired outcomes and deliver trusted results.
- Building processes supporting data transformation, data structures, metadata, dependency and workload management.
- In this role, SQL is heavily focused. An ideal candidate must have hands-on experience with SQL database design. Plus, Python.
- Demonstrably deep understanding of SQL (level: advanced) and analytical data warehouses (Snowflake preferred).
- Demonstrated ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket)
- Extremely talented in applyingSCD, CDC and DQ/DV framework.
- Familiar with JIRA & Confluence. - Must have exposure to technologies such as dbt, Apache airflow and Snowflake.
- Desire to continually keep up with advancements in data engineering practices.
- Knowledge on AWS cloud, Python is a plus
- Good to have experience with Cloud Platforms such as AWS, Azure, GCP and Snowflake.
- Good to have strong programming/ scripting skills (Python, PowerShell, etc.).
- Good to know about developing financial models and forecasting to support financial planning and decision-making processes.
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