Data Engineer Consultant

Job : Data Engineer Consultant Jobs in Hyderabad (J49138)- Job in Hyderabad Data Engineer Consultant (Job Code : J49138) Job Summary 6 - 8 Years Data Engineer Consultant BE-Comp/IT, BE-Other, BTech-Comp/IT, BTech-Other, MCA Stream of Study: Computer Science/IT IT-Software/Software Services IT Software - Client Server Key Skills: Job Post Date: Sunday, June 15, 2025 Company Description Our client is a global knowledge practice that provides consulting, technology, engineering, management and innovation services to leading businesses, governments, non-governmental organizations and not-for-profits. We focus on gaining, refining and sharing expertise in the energy and utility sector, then provide strategic advice and implement outcome-driven solutions. Working with customers across the utility value chain, we deliver sustainable and lasting improvements to their efficiency and performance, adding value to their bottom line. Demand for power, gas and water is consistently growing as the population of the planet expands. Our goal is to support large consumers of energy and water, and improve the sustainability of resources by increasing efficiency and optimizing existing operations. We also develop commercially successful ways to use renewable resources which deliver transformative advantages for our customers. As demand grows so does opportunity, something Enzen has seized on since its inception in 2006. The business has grown and developed across the globe, with a physical presence in the UK, India, Australia, USA, Spain, Turkey, Middle-East, Africa and Kazakhstan. As we push into the second decade of the company, we`re super-charging our growth by delivering exceptional value and results to our customers. For people with the right mindset, the opportunity to develop and grow in the organization has never been greater. Our expanding solutions, services and geographies mean we`re always on the lookout for individuals who can drive positive change and are hungry for the success and rewards that go with it. Job Description "Strong programming and scripting skills in SQL and Python. Experience with data pipeline tools (e. g. , Apache Airflow, Azure Data Factory, AWS Glue). Hands-on with cloud-based data platforms such as Azure, AWS. Familiarity with data modeling and warehousing concepts (e. g. , star schema, snowflake). "