Senior Data Engineer
Job Description
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.
We are seeking a skilled Senior Data Engineer to join our dynamic team. As a Senior Data Engineer you will play a pivotal role in designing implementing and maintaining data pipelines and infrastructure to support our organization's data-driven initiatives. You will collaborate closely with cross-functional teams to ensure efficient data flow and implement best practices for data management and governance. The ideal candidate should have a strong background in data engineering proficiency in relevant technologies and a passion for leveraging data to drive business insights.
Essential Duties and Responsibilities
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Design develop and maintain scalable and robust data pipelines to efficiently collect process and store data from various sources.
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Develop and maintain data models and schemas to support analytics and reporting requirements. Ensure data integrity consistency and optimization for performance.
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Implement Extract Transform Load (ETL) processes to cleanse transform and enrich raw data into usable formats for analysis and consumption.
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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.
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Identify opportunities to optimize data pipelines and processes for improved performance scalability and efficiency. Monitor system performance and implement optimizations as needed.
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Develop and implement data quality checks and validation processes to ensure accuracy completeness and consistency of data.
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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.
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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.
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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
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Bachelorβs degree in computer science Engineering or related field. Master's degree preferred.
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8+ years of experience in data engineering or related roles.
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Proficiency in programming languages such as Python Java or Scala.
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Experience with big data technologies such as Hadoop Spark or Kafka.
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Strong understanding of SQL and database systems (e.g. MySQL PostgreSQL).
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Experience with cloud platforms (e.g. AWS Azure Google Cloud) and related services (e.g. S3 Redshift BigQuery).
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Familiarity with data warehousing concepts and tools (e.g. Snowflake Amazon Redshift).
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Experience with version control systems (e.g. Git) and CI/CD pipelines.
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Strong analytical and problem-solving skills with attention to detail.
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Excellent communication and collaboration skills.
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Ability to work independently and as part of a team in a fast-paced environment.
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Experience with containerization and orchestration tools (e.g. Docker Kubernetes).
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Knowledge of machine learning concepts and frameworks (e.g. TensorFlow PyTorch).
Blanc Labs is enabling a digital future. Headquartered in Toronto we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com .
Blanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.
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Date Posted
04/12/2024
Views
1
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