Job Title- IND Consultant GSM Analytics: Data Engineering Position type- Full Time Work Location- Bangalore, Whitefield Working style- In Office Cab Facility- Yes Shift Time - 12.30 p.m. to 9.30 p.m. People Manager role: No Required education and certifications critical for the role- Any Graduate or Post-Graduate (full time) Required years of experience – 3-7 years of relevant experience AON IS IN THE BUSINESS OF BETTER DECISIONS At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are committed as one firm to our purpose, united through trust as one inclusive, diverse team and we are passionate about helping our colleagues and clients succeed. INFORMATION ABOUT THE BUSINESS One of the primary verticals of Global Spend Management-Analytics is Data Engineering where we specialize in Data Ingestion from multiple data sources followed by Data Warehousing, Data Enrichment and Data Management (including security and maintenance). To support data-driven decisions it is imperative to have data in a timely manner and in the right order. Support is provided across multiple Aon business verticals/geographies supporting revenue, savings and process re-engineering activities. GENERAL DESCRIPTION OF ROLE: The applicant should have experience in data ingestion, data warehousing and must have good skill-sets on technologies like Python, Snowflake, Spark/PySpark, Databricks, SQL queries and SQL Server. It is important the candidate abide by the rules as defined by the organization (which will be explained in detailed during training). JOB RESPONSIBILITIES: Candidate will be responsible for developing/maintaining/monitoring data pipelines and creating/monitoring data ingestion jobs. Experience in Data Engineering with good knowledge of technologies like Big data Python Spark/PySpark Snowflake Azure Databricks Amazon S3 (or any cloud-based storage services) StreamSets SQL Server Integrate data from different sources, ensuring accuracy and consistency. Good experience with Spark/PySpark for data processing and analysis Experience with working on cloud platforms, preferably AWS. Work closely with data analysts and business stakeholders to understand data requirements and provide valuable insights through data engineering solutions. Adhere to data governance and security policies. Knowledge of professional software development & best practices for the full software development life cycle, including coding standards, code reviews, testing & maintenance. Strong debugging, monitoring, and diagnosing skills for solution development & support. Coaching and guiding cross-functional team members. Strong exposure to automation technologies. SKILLS/COMPETENCIES REQUIRED: Bachelors or Master’s degree in computer science or related field. Excellent communication skills, able to actively participate in team discussions, knowing when to contribute, when to listen, and when to ask questions Passion towards problem-solving and strong decision-making ability Ability to think critically and arrive at elegant solutions to challenging problems Proven track-record delivering high-quality, on-time, elegant solutions Ability to deal with ambiguous situations and think abstractly HOW WE SUPPORT OUR COLLEAGUES In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work... and we are all for it! Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant and more valued. 2551199