Senior Data Engineer
hace 7 meses
**Senior Data Engineer**
**Responsibilities**
- Design, build and maintain scalable and efficient data architectures, including databases, data warehouses, data lakes, data marts, and other storage solutions.
- Design, build, and maintain robust data pipelines for the extraction, transformation, and loading (ETL) of data from various sources to storage and analysis destinations.
- Develop and implement data models that support the organization’s analytical and reporting needs, ensuring data integrity and optimal performance.
- Integrate data from different sources, such as databases, APIs, and external systems, to create a unified and consistent view for analysis
- Implement data quality management by implementing processes and tools to ensure the quality and reliability of data being collected and stored
- Optimizing data infrastructure and processes for performance and scalability, ensuring timely and efficient data retrieval and processing, and handle growing amounts of data
- Implementation of security measures to protect sensitive data and ensure compliance with data privacy regulations
- Work closely with data scientist, analyst, and other stakeholder to understand data requirements to collect and prepare data for analysis, and provide the necessary infrastructure
- Document data engineering processes, data flows, and system architecture to ensure transparency and ease of maintenance
- Experience defining, building, and maintaining KPI, analytics, reporting and dashboards
**Technical Requirements**
- Bachelor’s degree in computer science, Engineering, or related field
- 5+ years of experience as a data engineer building out analytic systems and solutions
- Proficient in SQL and database systems (e.g. PostgreSQL, MySQL, SQL Server)
- Experience working with Snowflake cloud data warehouse
- Experience with Kafka (Pub/Sub Arch Patterns)
- Experience with ETL tools and data integration processes
- Familiar with big data technologies (e.g. Apache Spark, Hadoop)
- Strong programming skills (e.g. Python, Java) for scripting and automation
- Experience with cloud platforms (e.g. AWS, Azure, GCP) and their data services
- Prior experience working with large datasets
- Excellent problem-solving and communication skills
**Bonus Skills**
- Experience working with Tableau, Salesforce, Google Analytics, MixPanel, or other modern analytic platforms
- Experience with JSON data formats
- Kotlin/Micronaut Backend Experience
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