Senior Data Engineer, Remote

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Job Overview

As a Senior Data Engineer at WorkWave, you will play a critical role in designing, building, and maintaining scalable data pipelines and architectures to support our analytics and data science initiatives. You will collaborate closely with cross-functional teams to ensure data integrity and accessibility, enable efficient data processing, and contribute to data-driven decision-making processes across the organization. Your expertise in data modeling, ETL processes, and cloud technologies will be essential in helping WorkWave harness the power of data to drive business performance.

Job Responsibilities

• Design and implement robust data pipelines that efficiently ingest, process, and store large volumes of data.
• Collaborate with data scientists and analysts to understand their data needs and deliver reliable data solutions.
• Develop and maintain ETL processes to cleanse, transform, and load data into data warehouses.
• Optimize existing data architectures and recommend improvements for performance and scalability.
• Ensure data quality and integrity through comprehensive testing and validation processes.
• Document data workflows, architecture, and processes for knowledge sharing and compliance.
• Participate in code reviews, providing constructive feedback to enhance the quality of the team’s codebase.
• Stay current with industry trends and emerging technologies in data engineering.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field; Master's degree preferred.
• A minimum of 5 years of experience as a Data Engineer or in a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift).
• Familiarity with data modeling concepts and experience with ETL tools (e.g., Apache NiFi, Talend).
• Understanding of big data technologies (e.g., Hadoop, Spark) is a plus.
• Excellent problem-solving skills and ability to work independently as well as part of a team.

Technologies & Tools

The Senior Data Engineer position at WorkWave primarily utilizes technologies and tools such as AWS for cloud services, SQL databases for data storage and retrieval, Apache Kafka for real-time data streaming, and various ETL tools like Apache NiFi. Familiarity with big data processing frameworks such as Apache Spark and data visualization tools is also beneficial. A solid understanding of data architecture principles and best practices in data engineering will be essential.

Ideal Candidates

The ideal candidates for the Senior Data Engineer position are professionals who are proactive, detail-oriented, and possess a strong analytical mindset. They demonstrate excellent communication skills, enabling them to articulate complex technical concepts to non-technical stakeholders. A candidate should be adaptable, embracing new challenges and technologies while also being team-oriented, contributing to a collaborative work environment. Passion for data and a deep understanding of its strategic importance in a business context will distinguish successful applicants in this role.