Lead Data Engineer job opportunity at ISS STOXX GmbH.

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ISS STOXX GmbH Lead Data Engineer
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Pattern: full-time
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loacation Gurgaon, India, India
loacation Gurgaon, India....India

Let’s be #BrilliantTogether ISS STOXX is actively hiring a Lead Data Engineer for Gurugram location. Overview: In this role, you collaborate with Principal Engineers to interpret our data architecture and product needs, requirements and enterprise policies and integrate your expertise to develop solutions that provide a step-change in business efficiency and open up new opportunities. You’ll be an internal and external advocate of our architecture and solutions, demonstrating technical principles and business value; and constantly seeking feedback on ways to improve its fit. You’ll lead a team of Data engineers as they deliver and support Data pipelines. You’ll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not dictate technical direction – in a culture where the global Data Engineering function collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge, and drive continuous improvement initiatives. You’ll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You’ll lead by example, using data and proof-of-concepts to bring people along and make them successful. You’ll own deliverables as well as co-developing solutions with your peers and colleagues, to help other develop. Success in this role means you successfully navigate the line between personal and team value delivery – you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, knowing that improves and reflects back on you too. Responsibilities: Lead and manage the Data team in Gurugram Oversee the design, development, and deployment of data pipelines Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data management and operation, to form and disseminate new insights. Qualifications: Strong knowledge of GCP products across database, serverless, containerization and API Experience of micro-batch and near real-time data pipelines Deep practical knowledge of using DBT to implement layered transformation flows Domain knowledge of financial market data and financial index data models and feeds Knowledge of AI, machine learning, and deep learning techniques. Expertise in PyTorch, TensorFlow, NLP, Model deployment. #MIDSENIOR #STOXX #LI-AC1 What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally.   Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success.   Let’s empower, collaborate, and inspire.   Let’s be #BrilliantTogether. About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit.   STOXX® and DAX® indices comprise a global and comprehensive family of more than 17,000 strictly rules -based and transparent indices. Best known for the leading European equity indices EURO STOXX 50®, STOXX® Europe 600 and DAX®, the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world , regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation.   Visit our website: https://www.issgovernance.com        View additional open roles: https://www.issgovernance.com/join-the-iss-team/       Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”).  All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. 

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