Data Engineer

HCLTech is a global technology company, home to more than 224,000 people across 60 countries, delivering industry‑leading capabilities centered around digital, engineering, cloud, AI and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2023 totaled $13.1 billion. To learn how we can supercharge progress for you, visit hcltech.com. Engineers focus on the “how” – translating the product vision into a technical solution that will delight customers by developing code, creating ETL and validation data pipelines. Responsibilities includes: Design and develop scalable data pipelines and ETL processes. Collaborate with product owners, architects, and other key profiles across the organization. Ensure data quality and integrity through rigorous testing and validation. Optimize data storage and retrieval for performance and scalability. Stay updated with the latest industry trends and best practices in data engineering. In this role we value: 01. T‑Shaped Has specific domain knowledge but is open to expanding their skillset left and right. Hard skills include: Programming Languages: Proficiency in Python, SQL, and etc. Data Engineering Tools: Experience with Databricks, Apache Spark, etc. Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud Platform. CI/CD: Knowledge of continuous integration and continuous deployment practices. Data Warehousing: Experience with data warehousing solutions. ETL Processes: Strong understanding of ETL (Extract, Transform, Load) processes and tools. Database Management: Proficiency in managing and optimizing databases such as PostgreSQL, MySQL, or MongoDB. Data Modeling: Ability to design and implement data models for both transactional and 02. Translate product vision Translates the product vision into a digital/technology solution. Has the ability to translate the requirement from the product team and creating a design the meets objective. Furthermore, have the ability to estimate the tasks and takes ownership of the tasks that is the fundamental for creating a great plan and delivery of data product. Works a part of a cross‑functional team to reach the best solution for the customer. Softs skills include: Analytical Thinking: Ability to analyze complex data sets and derive actionable insights. Problem‑Solving: Strong problem‑solving skills to troubleshoot and resolve data‑related issues. Communication: Excellent communication skills to effectively collaborate with cross functional teams. Adaptability: Ability to adapt to changing technologies and business requirements. Attention to Detail: Meticulous attention to detail to ensure data accuracy and integrity. Leadership: Capability to mentor and guide junior team members. Beneficial package

Life insurance Private medical care MultiSport Card Subsidy for glasses Subsidy to language courses Christmas and holiday bonuses The driving force behind that work, our people are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help find their spark and become the best version of themselves. Join our team now! Seniority level

Associate Employment type

Full‑time Job function

Information Technology Industries

IT Services and IT Consulting Middle Data Engineer (with Databricks expertise)

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