Senior Data Engineer - Remote | WFH

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Overview

The Senior Data Engineer at Get It Recruit - Information Technology will play a critical role in leveraging data to drive strategic decision-making. The successful candidate will be responsible for designing and implementing scalable data pipelines, ensuring data quality, and facilitating data accessibility for domain experts. This role requires collaboration with cross-functional teams to define requirements, develop robust ETL processes, and enhance data storage solutions, all while adhering to best practices in data management and governance.

Job Responsibilities

• Design, develop, and maintain scalable ETL processes to manage large datasets efficiently.
• Implement data models and ensure optimized data storage solutions to support analytics and reporting.
• Collaborate with data analysts and scientists to translate business requirements into data solutions.
• Monitor and troubleshoot data pipeline performance to ensure reliability and accuracy.
• Participate in code reviews and technology evaluations to adhere to best practices.
• Ensure compliance with data security and privacy regulations across all data-related activities.
• Provide technical mentorship and guidance to junior data engineering team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field; Master’s degree preferred.
• Minimum of 5 years of experience in data engineering or related roles.
• Proficiency in SQL and programming languages such as Python or Scala.
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Solid understanding of cloud services (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
• Familiarity with data modeling concepts and ETL tools (e.g., Apache NiFi, Talend).
• Strong analytical and problem-solving skills, with attention to detail.

Technologies & Tools

The Senior Data Engineer will utilize a range of technologies and tools essential for modern data engineering tasks. Key technologies include SQL databases for querying, cloud platforms like AWS or Azure for scalable data storage, and ETL tools such as Apache Airflow for workflow management. Proficiency in languages like Python, Scala, or Java will be crucial for developing data processing scripts and automation processes. Familiarity with big data frameworks, data visualization tools, and containerization technologies (e.g., Docker) is also beneficial.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position is one who possesses not only the necessary technical skills but also the ability to work collaboratively in a team environment. Successful candidates demonstrate strong communication skills to convey complex technical information clearly to non-technical stakeholders. A proactive mindset, a passion for data, and a commitment to continuous learning will set apart ideal candidates, as will a proven ability to adapt to rapidly changing technologies and methodologies within the data engineering landscape.