Senior Data Engineer

hace 2 semanas

Desde casa, Colombia Blanc Labs A tiempo completo

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.

**Essential Duties and Responsibilities**:

- Design, develop, and maintain scalable and robust data pipelines to efficiently collect, process, and store data from various sources.
- Develop and maintain data models and schemas to support analytics and reporting requirements. Ensure data integrity, consistency, and optimization for performance.
- Implement Extract, Transform, Load (ETL) processes to cleanse, transform, and enrich raw data into usable formats for analysis and consumption.
- Integrate data from multiple sources such as databases, APIs, and streaming platforms. Ensure seamless data flow across systems while adhering to data governance and security standards.
- Identify opportunities to optimize data pipelines and processes for improved performance, scalability, and efficiency. Monitor system performance and implement optimizations as needed.
- Develop and implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Communicate effectively with cross-functional teams to gather requirements and provide updates on project status.
- Create and maintain technical documentation including data pipeline workflows, data dictionaries, and system architecture diagrams. Ensure documentation is up-to-date and accessible to relevant stakeholders.
- Stay updated on emerging trends, technologies, and best practices in data engineering and related fields. Continuously enhance skills and knowledge to drive innovation and efficiency in data management.

**What You'll Need to Be Successful**:

- Bachelor’s degree in computer science, Engineering, or related field. Master's degree preferred.
- 8+ years of experience in data engineering or related roles.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Strong understanding of SQL and database systems (e.g., MySQL, PostgreSQL).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and related services (e.g., S3, Redshift, BigQuery).
- Familiarity with data warehousing concepts and tools (e.g., Snowflake, Amazon Redshift).
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

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