Job Title

Project Description:You will be a critical team member and developing the means to collect and ingest data, developing data models and data architectures, creating automated data pipelines, and taking the lead in making these Production-ready. You will assist with integrating with existing applications, and will be working with leading organizations and teams in the region.We are interested in hearing from individuals with a background in data - both SQL and non-SQL, with very strong python scripting background.Responsibilities:You will work alongside a strong, global team of individuals with diverse backgrounds and skills in a variety of areas to:• Analyse data sources, and acquire data• Create data pipelines, and integrate to final data destinations• Create appropriate data models, architectures and pipelines• Move the models and pipelines into ProductionYou will assist the practice in:• Developing templates and accelerators, across a variety of libraries and platforms.• Participating in data workshops and client work as necessaryYou will collaborate with business and technology partners to grow and develop the data engineering practice.Mandatory Skills Description:• 5+ years of working with big data, Hadoop. SPARK, Impala.• Python skills as well, very good Python skills.• Database experience as well, Oracle, SQL Server etc. SQL skills is a must as well.• Strong Python development skills (min 4 years hands-on experience)• Strong data-related development skills, preferably in mainstream versions of SQL and NoSQL.• Experience with databases, modelling and data flows.• Exposure to the full Software Development Life Cycle, and experience of working in a modern development team• Good analytical skills• Strong communication skills, both verbal and written. The successful candidates will be expected to communicate effectively with both business and technical teams• Great interpersonal and communication skills (ie the ability to articulate technical concepts to non-tech personnel).• Experience to support to other engineers, infrastructure, pipeline, and configuration.• At least some experience with big data.Nice-to-Have Skills:• Experience with AWS, Azure or, GCP.• Experience in working with / supplying data to visualization tools such as Qlik, Tableau, PowerBI or similar.• Good understanding of data integration patterns.• Experience with / exposure to software development for analytic applications.• Experience in projects involving cross-functional teams