Job
Description
Company: Mercer Description: We are seeking a talented individual to join our Data Engineering team at Mercer. This role will be based in Gurgaon/ Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Principal Engineer - Data Enginering We will count on you to: Design, develop, and maintain scalable and robust data pipelines on Databricks. Collaborate with data scientists and analysts to understand data requirements and deliver solutions. Optimize and troubleshoot existing data pipelines for performance and reliability. Ensure data quality and integrity across various data sources. Implement data security and compliance best practices. Monitor data pipeline performance and conduct necessary maintenance and updates. Document data pipeline processes and technical specifications. Use analytical skills to solve complex problems associated with database development and management. Working with other teams, such as data scientists, business analysts, and Qlik Developers, to identify organizational needs and design effective solutions. Providing technical leadership and guidance to the team. This may include code reviews, mentoring, and helping team members troubleshoot technical issues. Aligning the data engineering strategy with the wider organizational strategy. This might involve deciding which projects to prioritize, making technology choices, and planning for the teams growth and development. Ensuring that all data engineering activities are compliant with relevant laws and regulations, and that data is stored and processed securely. Keeping up-to-date with new technologies and methodologies in the field of data engineering, and fostering a culture of innovation and continuous improvement within the team. Communicate effectively with both technical and non-technical stakeholders, explaining data infrastructure, strategies, and systems in an understandable way. What you need to have: Bachelor s degree (BE/B.TECH) in Computer Science/IT/ECE etc. MIS or related qualification. A master s degree is always helpful 3-5 years of experience in data engineering Proficiency with Databricks or AWS (Glue, S3), Phython and Spark Strong SQL skills and experience with relational databases Knowledge of data warehousing concepts and ETL processes Excellent problem-solving and analytical skills Effective Communication Skills What makes you stand out? Exposure to any BI tool like Qlik(Preference tool), Power BI, Tableau etc. Hands on experience on SQL OR PL-SQL Experience with big data technologies (e.g., Hadoop, Kafka) Agile, JIRA and SDLC process knowledge Teamwork and collaboration skills Strong Quantitative and Analytical skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being
