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Description:
The Staff Data Engineer position at Sojern involves designing, building, and maintaining data pipelines to deliver high-quality data to the data warehouse and other analytics platforms.
Responsibilities include developing scalable data pipelines using ETL processes, writing complex SQL queries, and creating Python scripts for data manipulation and automation.
The role also entails designing data models, monitoring data pipelines for quality and accuracy, collaborating with data scientists and analysts, and staying updated on data engineering tools and technologies.
The Staff Data Engineer will participate in Agile development lifecycle activities and mentor developers to ensure project progress.
Requirements:
Experience in designing and implementing ETL pipelines is essential for the role.
Proficiency in SQL and familiarity with relational databases like MySQL and PostgreSQL is required.
Strong programming skills in Python, including knowledge of libraries such as Pandas and NumPy, are necessary.
Knowledge of agile methodologies, cloud computing platforms (AWS, Azure, Google Cloud), and CI/CD practices for data engineering workflows is a must.
Nice to have skills include experience with Google Cloud, BigQuery, orchestration tools like Apache Airflow, and AdTech knowledge.
Benefits:
Competitive compensation packages, stock options, and a Bonusly program for rewards and recognition.
Flexibility with hybrid or remote work options, Flexi-Friday benefit, and time-zone friendly work hours.
Connection through team offsites, employee resource groups, virtual team building events, and company All Hands meetings.
Wellbeing support with PTO allowance, comprehensive healthcare options, paid parental leave, retirement contributions, travel benefits, and mental health resources.
Growth opportunities with learning & development stipend, mentorship program, and career development initiatives.
Productivity support with home office tech setup, monthly internet and phone allowance, and modern collaboration tools.