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Description:
Mrsool is looking for a Senior Data Engineer to establish robust foundational data infrastructures.
The role involves developing and delivering data solutions to empower data scientists, analysts, and Product Managers.
Responsibilities include designing and implementing data architectures, creating systems for moving and transforming data, and ensuring accuracy.
The Senior Data Engineer will collaborate with cross-functional teams to offer insights for data-driven decision-making.
This position offers the opportunity to enhance data-driven decision-making processes and build data-intensive applications.
Requirements:
Over 5 years of hands-on experience in Data Engineering, specializing in scalable storage solutions and robust schema layers.
Proficiency in a programming language like Python or Java, along with their standard data processing libraries.
Expertise in crafting and troubleshooting data pipelines using distributed data frameworks like Apache Spark and Flink.
Extensive background in working with relational databases (AWS, RDS, Aurora), adept in SQL, data warehousing, and designing ETL/streaming pipelines.
Track record of integrating data from core platforms into a centralized warehouse or datalake.
Strong communication skills, ability to extract requirements, and architect shared datasets.
Passion for creating exceptional tools that provide a delightful user experience.
Benefits:
Inclusive and Diverse Environment: Mrsool fosters an inclusive and diverse workplace that values innovation and provides flexibility in work arrangements.
Competitive Compensation: Competitive compensation packages, including potential share options for certain roles.
Personal Growth and Development: Commitment to professional development with regular training and an annual learning stipend.
Autonomy and Mentorship: Enjoy autonomy in your role supported by mentorship and ambitious goals for personal and company growth.