Lead Data Engineer

About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDIGITA L Job Descripti • onExperienced Data management specialist responsible for developing, overseeing, organizing, storing, and analyzing data and data syste • msParticipate in all aspects of the software development lifecycle for Snowflake solutions, including planning, requirements, development, testing, and quality assuranc • e.Work in tandem with our engineering team to identify and implement the most optimal solution • s.Ensure platform performance, uptime, and scale, maintaining high standards for code quality and thoughtful desig • n.Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measure • s.Able to manage deliverables in fast paced environment s. Areas of Expert • iseAt least 10 years of experience designing and development of data solutions in enterprise environm • entAt least 5+ years’ experience on Snowflake Platfo • rm.Strong hands on SQL and Python developme • nt.Experience with designing and development data warehouses in Snowfla • ke.A minimum of three years experience in developing production-ready data ingestion and processing pipelines using Spark, Sca • la.Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Autom • ic.Good understanding on Metadata and data linea • ge.Hands on knowledge on SQL Analytical functio • ns.Strong knowledge and hands-on experience in Shell scripting, Java Scripti • ng.Able to demonstrate experience with software engineering practices including CI/CD, Automated testing and Performance Engineeri • ng.Good understanding and exposure to Git, Confluence and Ji • ra.Good problem solving and troubleshooting skil • ls.Team player, collaborative approach and excellent communication skil ls.