Full-Time Data Engineer

Data Engineer will play a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data management, analytics and business intelligence initiatives following industry standard practices and tools.

Responsibilities:

• Building, managing, and optimizing data integration pipelines.
• Moving data pipelines into production for key analytics consumers (business domain owners, business/data analysts, product owners, decision makers).
• Supporting data-informed problem-solving use cases across the enterprise.

Qualifications:

• Education: Master's degree in computer science, data science, software engineering, or related field.
• Experience: At least three years of experience in BI development, data analytics, data engineering, software engineering, or a similar role.
• Expertise: Data modelling, ETL development, data architecture, master data management.
• Strong Experience: Various Data Management architectures (data warehouse, data lake, LakeHouse, Data Fabric vs Data Mesh), data Integration, MPP engines, governance, metadata management.
• Intermediate Experience: Apache technologies (Spark, Kafka, Airflow) for scalable and efficient data pipelines.
• Strong Experience: Designing, building, and deploying data solutions (capturing, exploring, transforming, utilizing data to create data products).
• Proficiency: ETL/ELT, data replication/CDC, message-oriented data movement, API design and access, stream data integration, data virtualization.
• Basic Knowledge: Data science languages/tools (R, Python, TensorFlow, Databricks, Dataiku, SAS, or others).
• Proficiency: Modern data architectures and concepts, cloud services (AWS, OCI, Azure, GCP), modern data warehouse tools (Snowflake, Databricks, etc).
• Strong Experience: Database technologies (SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Teradata, etc).
• Intermediate Experience: Popular data discovery, analytics, and BI software tools (PowerBI, Tableau, Qlik Sense, Looker, ThoughtSpot, MicroStrategy, or others).
• Expert Problem-Solving Skills: Debugging unfamiliar code or systems, solving repetitive problems.

Company Values:

• Diversity, Equity, and Inclusion
• Human-centric environment

Benefits:

• Training and career development opportunities
• Emphasis on personal and professional growth
• Friendly, supportive work environment
• Global colleagues; English language
• Quality, Integrity, Trust
• Drive, Passion
• Agility, Responsiveness
• Belonging, Collaborative Partnerships

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