Data Engineer - Spendscape

3 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Who You'll Work With

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact

You will support, deliver and implement Spendscape solutions together with our strong delivery teams and in close collaboration with our clients.In this role, your typical tasks involve project scoping, data identification and extraction, data processing, engineering and enrichment, and data cleansing and categorization. You will focus on the automatization of reoccurring tasks, the support and debugging of the data processing, engineering and enrichment phase. Leveraging proprietary and third-party ETL and data-transformation tools or scripts (e.g. Snaplogic, SQL, Python, Snowflake), you will merge various internal and external data tables and sources.Your tasks also include the continuous development and improvement of our proprietary data extractor and ETL tools. You will gather client input, identify their needs, and work closely with our Software Development and Data Science teams to create scalable solutions that can be brought to 100s of clients per year.When supporting client’s questions or requests you will build a deep understanding of the data model and the Spendscape solution. Together with consulting teams, client success managers and clients you will understand client requirements and discuss how to best implement the database for new or customized analytics. You will answer client inquiries, troubleshoot issues, and implement sustainable solutions.

Your Qualifications and Skills

  • Undergraduate degree in computer science, engineering, mathematics, information systems or related field
  • 3+ years of relevant professional work experience in a data engineering function with an analytics firm
  • Strong coding knowledge in SQL or T-SQL
  • Understanding of data warehousing and data lake concepts; experience in building operational ETL data pipelines across multiple sources, and constructing relational and multi-dimensional data models
  • Strong drive for automatization and optimization and experience in data processing diagnostics
  • Solid problem-solving capabilities, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Strong abilities in the field of large data handling through one or multiple of the following: Microsoft SQL (T-SQL), Microsoft SQL Server, Management Studio, Python, version control with Git, cloud data warehouses such as Snowflake
  • Abilities in the field of large data handling through one or multiple of the following are a plus: Snaplogic, Talend, Alteryx etc.
  • Experience in the field of procurement and/ or business intelligence is a plus
  • Excellent written and verbal communication skills in English

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