Office Field is looking for a Data Engineer to join our growing team.
Responsibilities:
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Evaluate data flows and prepare ETL processing by incorporating business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Requirements:
• Bachelor’s/Master’s degree in Computer Science, Computer Engineering, or relevant field.
• A minimum of 2+ years’ experience in a similar role
• Hands-on experience with ETL.
• Python experience is required.
• Experience on RDBMS based databases including MongoDb, PostGreSQL, MySQL.
• Extensive experience with MongoDB is a must
• Familiarity with cloud platforms like AWS, GCP, and Azure.
• Experience with Apache Airflow, NiFi, Atlas, and Kafka is preferred.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Strong knowledge of database structure systems and data mining.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• Good written and verbal communication skills