Senior Data Engineer

Eucloid is looking for a Senior Data Engineer to join our Data Platform team supporting various business applications. The ideal candidate will support the development of data infrastructure for our clients by participating in activities that may include starting from upstream and downstream technology selection to designing and building different components. Candidate will also be involved in projects like integrating data from various sources, managing big data pipelines that are easily accessible with optimised performance of the overall ecosystem. The ideal candidate is an experienced data wrangler who will support our software developers, database architects and data analysts on business initiatives. You must be self-directed and comfortable supporting the data needs of cross-functional teams, systems, and technical solutions.

Responsibilities:

• Responsible for the design, deployment, configuration, and operations of a multi-node big data cluster.
• This includes working with open source and/or commercial stacks to support the full SDLC.
• Resource will work to deploy, manage, and maintain development, test and production environments for the big data platform.
• Develop scripts to automate and streamline operations and configurations in the infrastructure.
• Specify, design, build, and support BI solutions by working closely with datalake team.
• Create dashboards and KPIs to show the business performance to management.
• Design and maintain data models used for reporting and analytics.
• Work to identify infrastructure needs and provide support to developers and business users.
• Research performance issues.
• Optimise the platform for performance.
• Troubleshoot and resolve issues in all operational environments.
• Work with a cross-functional team delivering software deployments.
• Forward thinking by continuously adopting new ideas and technologies to solve business problems
• Own the design and development of automated solutions for recurring reporting and in-depth analysis.
• A problem solver and critical thinker.

Requirements:

• Strong experience in Data lake - Spark, distributed file system, Yarn, Cloud services (preferably GCP / AWS).
• Strong experience in SQL tools - Vertica, Dremio product or any big data SQL.
• Scripting Knowledge - Shell, Python.
• Experience with ETL and OLAP concepts in building highly scalable data pipelines.
• Exposure to any Visualization systems is a plus (like Apache Superset, Tableau).
• Experience with Agile, data structures, data analysis and wrangling tools and technologies.
• Familiar with version control and relational databases.
• Strong Experience in monitoring, debugging and troubleshooting of services.
• Experience in providing on-call support.
• Bachelor's / Master's Degree in Computer or related field from a reputed institution.
• 6+ years of professional experience in software, with most of them from a product company.
• Proficient in one or more technologies like AWS, EMR, Hadoop, Spark SQL, and Python Data Structures.
• Experience working in Linux based environment.
• Good communication and design skills.