Data Engineer (Python Coder) | 100% Remote

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

Job Overview

Apolis is seeking a highly skilled Data Engineer specializing in Python coding to join our versatile team in a 100% remote capacity. The ideal candidate will play a pivotal role in designing, constructing, and maintaining scalable data pipelines and infrastructure that empower the organization to leverage data effectively. You will collaborate with cross-functional teams to discover and implement innovative data solutions while ensuring data quality and security.

Job Responsibilities

• Design, build, and maintain robust data pipelines to consolidate large volumes of structured and unstructured data from multiple sources.
• Develop and optimize ETL processes to ensure high data availability and integrity.
• Collaborate with data scientists and analysts to gather requirements and understand their data needs.
• Implement data quality checks and monitor data for quality assurance and compliance.
• Utilize Python and other technologies to automate and enhance data processing workflows.
• Document data processes and workflows to promote knowledge sharing within the team.
• Engage in performance tuning and optimization of data engineering tasks to maximize efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role focused on data pipeline development.
• Proficiency in programming languages, particularly Python; experience with SQL is essential.
• Familiarity with data warehousing solutions and cloud services such as AWS, Azure, or Google Cloud.
• Experience with data integration tools and ETL frameworks.
• Knowledge of data modeling concepts and database design.
• Strong problem-solving skills and attention to detail.

Technologies & Tools

The Data Engineer position at Apolis will involve working with various technologies and tools, including but not limited to Python for scripting and data manipulation, SQL for database queries, Apache Airflow for workflow automation, and data platforms such as AWS Redshift or Google BigQuery for data warehousing. Familiarity with Git for version control and experience using Docker for containerization are also advantageous.

Ideal Candidates

The ideal candidate for this role will exhibit strong analytical thinking and a passion for data-driven decision-making. A proactive attitude towards problem-solving and innovation is essential, as well as the ability to work independently in a remote environment while effectively collaborating with team members. Candidates should be adaptable, detail-oriented, and possess excellent communication skills to articulate complex data issues clearly.