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Description:
The company is seeking a Senior Data Engineer to work on an enterprise-level client project.
The role involves analyzing and organizing raw data, building data systems and pipelines, and evaluating business needs and objectives.
Responsibilities also include combining data from different sources, enhancing data quality and reliability, and developing analytical tools and programs.
The Senior Data Engineer will collaborate with data scientists/planners and architects on various projects and work on assembling large, complex data sets.
They will also be responsible for identifying and implementing internal process improvements, building ETL jobs, and creating analytical tools for actionable insights.
Technologies used include AWS, Airflow, SQL, Python, and Go.
Requirements:
3+ years of experience as a Data Engineer or in a similar role.
Technical expertise in data models, data mining, and segmentation techniques.
Proficiency in Python, with experience in Go considered a bonus.
Hands-on experience with SQL database design and working with Hive/DataBricks or other data warehouses.
Experience in building dashboards on Tableau/Grafana/Databricks, and building data pipelines on Airflow.
Strong numerical and analytical skills.
Benefits:
Specialized professional conferences with offline/online participation.
Coverage of expenses and bonus for successful completion of certificates.
Professional training, seminars, and mentoring programs.
Access to educational materials in the local library.
Monthly office activities, team building, and corporate parties.
English lessons and language courses.
In-company language teachers and partially paid third-party courses.
Provision of necessary hardware or compensation for using personal equipment.
Lawyer consultations available in every office.
20 working days of vacation, increasing to 26 after 10 years of service.
Health insurance (Premium Pack) and monthly fitness compensation.