Data Engineer
New
O
OneSix - ExternalData and AI
Remote/LATAMFull-TimeMiddle
Salary60,000 - 85,000 USD per year
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Job Details
- Required Skills
- AWSSQLBusiness IntelligenceETLGCPKafkaSnowflakeAzure
Requirements
- Prior experience in Data Warehousing or Business Intelligence.
- Experience with major cloud/on-premise database technologies (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, SQL Server, Oracle, Postgres, MySQL).
- Experience with AWS, Azure, or Google Cloud.
- Technical experience in ETL/ELT tools (e.g., Fivetran, DBT, Matillion, SSIS, Coalesce, Talend, Informatica, Rivery).
- Expertise with BI/Data Visualization tools (e.g., Power BI, Tableau, Looker, Sigma, Pyramid Analytics, ThoughtSpot, Sisense, Qlik).
- Experience designing and implementing data models.
- Experience with real-time data processing frameworks (e.g., Kafka, Spark).
- Background working with financial datasets (transactional data, risk metrics, compliance reports).
- Familiarity with automated testing, CI/CD pipelines, and infrastructure as code.
- Excellent written and verbal communication skills.
Responsibilities
- Develop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data.
- Design and implement efficient data models, data warehouses, and data lakes.
- Optimize performance, scalability, and reliability of data storage and processing systems.
- Monitor data pipelines and troubleshoot issues.
- Collaborate with data scientists, analysts, and engineers to ensure data quality and integrity.
- Participate in code reviews, automated testing, and deployment processes.
- Ensure compliance with industry-specific regulatory requirements for data security and privacy.
- Define the architecture and design solutions for BI and software applications.
- Engage with internal leadership and teams to deliver solutions.
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