Data Engineer

Key Roles & Responsibilities:

Purpose

• Place client value and human experience at the center of everything we do.
• Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform and store date to support reporting, automated systems and AI/ML Team.
• Be a part of a world-class team of experts in Data engineering.
• Be a part of a culture of excellence and with confidence, charisma, context, and humility, working effectively at all levels.

Delivery

• Delivery of data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors.
• Support thought leadership development as a team for data engineering and scaling deployments.

Partnership

• Work with Temus’ ecosystem of partners to deliver client value.
• Adopt a cloud-first strategy to enhance agility and elasticity by partnering with vendors to support specific public sector needs.

Requirements:

• 3-7 years of designing, building and operationalizing data solutions and applications (with batch or streaming data).
• Hands-on experience with Databricks/Snowflake including setup, configuration, administration on cloud infrastructure followed by on-boarding data sources, building data pipelines and data assets for downstream consumption.
• Experience with AWS cloud data platforms (S3, RDS, Glue, Redshift).
• Proficient in at least one core language: Python, .Net (C#).
• Experience with setup and administration of Tableau server is an added advantage.
• Knowledge of Kafka for data streaming (producer, topics and consumers).
• Excellent understanding on SQL data storage structures and storage/query optimizations.
• Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc.
• Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing.
• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners.
• Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.).
• Ability to work independently with minimal guidance.
• Ability to work as part of a large team.
• Ability to work within an unstructured environment with ability to multitask well.