Job ID 102150 - Gurugram Do you want to work on complex and pressing challenges the kind that bring together curious ambitious and determined leaders who strive to become better every day If this sounds like you you ve come to the right place YOUR IMPACT You will support deliver and implement Spendscape solutions together with our solid 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 GROWTH 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 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

📌 Data Engineer - Spendscape (Haryana)
🏢 McKinsey
📍 Haryana