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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop scalable data infrastructure and systems, including data pipelines, integration, and transformation solutions using tools like Apache Airflow and Azure Data Factory.
Collaborate with cross-functional teams to understand data requirements and deliver actionable insights leveraging platforms such as Snowflake and Databricks.
Mentor junior team members and manage assigned workstreams within client service engagements, maintaining data quality, security, and compliance.
Minimum Requirements
Bachelor's degree in any field.
Minimum 2 years of work experience in data engineering or related roles.
Proficiency in English (oral and written).
Experience with data pipeline tools and cloud platforms like Apache Airflow, Azure Data Factory, Snowflake, or Databricks preferred.
Ideal Candidate Profile
Background in fields like Management Information Systems, Computer Science, Systems Engineering, or related quantitative domains.
Experience with AWS and Microsoft Azure Databricks implementations for data engineering.
Strong analytical thinking and problem-solving skills in complex data environments with ability to manage ambiguity and build client relationships.