Sr Data Engineer - R&D Connected Data - Remote

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Overview

The Senior Data Engineer for R&D Connected Data at Get It Recruit will play a pivotal role in designing, developing, and maintaining robust data pipelines and architectures. This remote position requires a strategic mindset to collaborate with cross-functional teams to leverage data-driven insights, ensuring high-quality data availability for the organization’s research and development initiatives. The successful candidate will utilize their expertise in data engineering to optimize data systems and facilitate the integration of diverse data sources, while driving innovations that enhance the team's capabilities and contribute to organizational success.

Job Responsibilities

• Design, build, and maintain scalable data pipelines to support data collection, transformation, and analysis.
• Collaborate with data scientists and analysts to define data requirements and ensure accessibility and integrity of data sources.
• Optimize existing ETL processes for efficiency and performance.
• Implement data quality checks and monitoring systems to ensure the reliability of data assets.
• Work with cloud-based data storage solutions to ensure optimal data storage practices.
• Develop complex SQL queries to extract, analyze, and convert large datasets for various projects.
• Provide technical guidance and mentorship to junior data engineers and other team members.
• Stay updated on emerging data engineering technologies and trends, evaluating their potential impact on the organization.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (Master's degree preferred).
• Minimum of 5 years of experience in data engineering or related roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, or similar).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions.
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
• Excellent analytical and problem-solving skills, with a strong attention to detail.
• Ability to work collaboratively in a fast-paced environment, managing multiple priorities.

Technologies & Tools

The Senior Data Engineer role utilizes a variety of technologies and tools to support data-related tasks, including but not limited to cloud services like AWS or GCP, data warehousing solutions such as Snowflake or Redshift, and big data frameworks such as Apache Spark and Hadoop. Candidates should be familiar with ETL tools, version control systems like Git, and containerization technologies like Docker, as they play a crucial role in data pipeline development and deployment.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position will possess strong analytical skills and a proactive approach to problem-solving, enabling them to tackle complex data challenges effectively. They should exhibit excellent communication skills, enabling seamless collaboration across diverse teams. A passion for innovation and a commitment to maintaining high data quality standards are key attributes, along with a continuous learning mindset to adapt to the rapidly changing technology landscape.