Sr. Data Engineer - Commercial Platform Integration, IT Applications (Remote)

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Job Overview

As a Senior Data Engineer specializing in Commercial Platform Integration within IT Applications, you will play a crucial role in enhancing our data architecture, processes, and integrations to support business objectives. This remote position involves collaborating with cross-functional teams to design, build, and maintain robust data systems that facilitate data-driven decision-making. You will work on integrating various commercial platforms, ensuring data integrity, and optimizing performance while adhering to industry standards and best practices.

Job Responsibilities

• Design and implement scalable data pipelines and ETL processes for seamless data integration across commercial platforms.
• Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and provide effective solutions.
• Ensure data quality and integrity through rigorous testing and monitoring of data processes.
• Develop and maintain data models and data architecture, documenting processes for reference and compliance.
• Optimize existing data architectures and recommend improvements to enhance system performance.
• Stay current with emerging technologies and industry trends to continuously refine data strategies.
• Provide technical leadership and mentorship to junior data engineers and team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field; Master’s degree preferred.
• At least 5 years of experience in data engineering, with a focus on ETL processes and data integration.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions, database management systems, and cloud platforms (e.g., AWS, Microsoft Azure, Google Cloud).
• Solid understanding of SQL and NoSQL databases and data modeling techniques.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).
• Strong analytical and problem-solving skills with the ability to document processes and workflows clearly.

Technologies & Tools

The Senior Data Engineer will primarily work with technologies and tools that include but are not limited to relational and NoSQL databases, big data frameworks like Apache Hadoop and Spark, ETL tools such as Talend or Informatica, and cloud services from AWS, Microsoft Azure, or Google Cloud Platform for data storage and processing. Familiarity with version control systems like Git and CI/CD tools will also be beneficial in streamlining development workflows.

Ideal Candidates

The ideal candidates for this position will possess a strong analytical mindset along with technical expertise in data engineering. They should be detail-oriented, proactive problem solvers, and excellent communicators, capable of conveying complex data-related concepts to non-technical stakeholders. A passion for continuous learning and the ability to work collaboratively in a remote team environment are essential qualities for success in this role.