Senior Data Engineer (Remote)

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Written by AI from the job title and company, not by Constellation, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Data Engineer at Constellation will play a crucial role in designing, building, and maintaining robust data solutions that facilitate data-driven decision-making across the organization. The ideal candidate will leverage their expertise in data modeling, ETL processes, and cloud-based data architectures to enhance data availability and quality. By collaborating with cross-functional teams, you will ensure that data pipelines are optimized and aligned with business objectives, driving efficiency and innovation within our data ecosystem.

Job Responsibilities

• Design, develop, and implement scalable data pipelines and architectures.
• Ensure data quality and integrity through effective data governance practices.
• Collaborate with stakeholders to gather requirements and translate them into data solutions.
• Utilize ETL tools for data extraction, transformation, and loading from various sources.
• Optimize existing data processes for maximum efficiency and performance.
• Monitor and resolve data delivery issues, ensuring timely data availability.
• Document data models, processes, and procedures for future reference and compliance.
• Keep abreast of emerging technologies and industry trends related to data engineering.

Qualifications

• Master’s or Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience in data engineering, data architecture, or a similar role.
• Proficiency in SQL and experience with NoSQL databases.
• Strong knowledge of ETL tools and techniques (e.g., Apache NiFi, Talend, Informatica).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data modeling and data warehousing concepts.
• Solid understanding of data security and compliance requirements.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Senior Data Engineer will work with a variety of cutting-edge technologies and tools, including but not limited to SQL databases, NoSQL databases, ETL tools (like Apache NiFi and Talend), cloud services (such as AWS, Azure, or Google Cloud), and data visualization tools (like Tableau or Power BI). Familiarity with programming languages such as Python and Java, as well as big data technologies like Hadoop and Spark, is highly advantageous for this role.

Ideal Candidates

Ideal candidates for the Senior Data Engineer position will possess strong analytical and quantitative skills, enabling them to translate complex data into actionable insights. They exhibit a collaborative spirit, working effectively within diverse teams while driving projects to completion. Strong communicators who can bridge the gap between technical and non-technical stakeholders will thrive in this role. Additionally, candidates should demonstrate a passion for data and innovation, coupled with a commitment to delivering high-quality results in a fast-paced environment.