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 cient\xe2\x80\x99s 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 & Qualifications:
Bachelor\xe2\x80\x99s Degree/Masters Degree in computer science or any engineering discipline
Minimum 3 years of designing, building and operationalizing data solutions and applications (with batch or streaming data)
Experience with ServiceNow strongly preferred
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.
Proficient in at least one core language: Python, Scala, Java
Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
Exposure to one of more of cloud services like AWS, Azure or GCP
Awareness of a broad range of tools to assist in the data engineering: Databricks, Snowflake, dbt, Alteryx, Datameer, dataform, Informatica, Talend, Docker, Kubernetes, Kafka, Kinesis, Spark, Flink, MongoDB, Cassandra, HBase, Redis, PostgreSQL, MySQL, DB2, Neo4j, S3, KSQL, Terraform, Ansible & Datadog
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
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