Role:
A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on
big data challenges in an agile way. This includes big data design and analysis, data modeling, and
development, deployment, and operations of big data pipelines. Leads development of some of the
most critical data pipelines and data sets, and expands self-service data knowledge and capabilities.
This role requires you to live at the cross section of data and engineering. You should have a deep
understanding of data, analytical techniques, and how to connect insights to the business, and you have
practical experience in insisting on the highest standards on operations in ETL and big data pipelines.
What you ll do:
Design and develop robust data models and pipelines to support data ingestion, processing,
storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to
build scalable and reliable data infrastructure.
Optimize data engineering systems and processes to handle large-scale data sets efficiently.
Design solutions that can scale horizontally and vertically.
Collaborate with cross-functional teams, such as datascientists, software engineers, and
business stakeholders, to understand data requirements and deliver solutions that meet
business needs. Effectively communicate complex technical concepts to non-technical
stakeholders.
Optimize data engineering systems and processes to handle large-scale data sets efficiently.
Design solutions that can scale horizontally and vertically,
Enforce data governance policies and practices to maintain data integrity, security, and
compliance with relevant regulations. Collaborate with data governance and security teams to
implement robust data protection mechanisms and access controls.
What you ll need:
A bachelor's degree in Computer Science, Data Science, Engineering, or a related field;
5+ years of experience in data engineering and analytics technical strategy.
Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab /
AWS / Airflow/ DBT and others..
Proficiency in relational database platforms and cloud database platforms such as Snowflake,
Redshift, or Google Cloud Platform
Strong in Python and/or another data centric language.
Thorough knowledge of data modeling, database design, dataarchitecture principles,
and data operations.
Strong analytical and problem-solving abilities, with the capability to simplify complex issues
into actionable plans.
Experience in the Fintech industry is advantageous.
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