Sr. Data Engineer (remote)

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Job Overview

Simtra BioPharma Solutions is seeking a highly skilled Senior Data Engineer to join our remote team. The successful candidate will be responsible for designing, implementing, and maintaining robust data pipelines that facilitate the seamless flow and integration of large datasets. As a key player in our data engineering team, you will work closely with data scientists, analysts, and other stakeholders to optimize data architecture, develop ETL processes, and ensure data quality across various systems. Your expertise will contribute significantly to our data-driven initiatives, ultimately supporting the advancement of bio-pharmaceutical innovations.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines to support data extraction, transformation, and loading (ETL).
• Collaborate with data scientists and analysts to understand data requirements and provide insights for data-driven decision making.
• Implement data quality measures and monitoring systems to ensure data integrity and accuracy.
• Optimize existing data processes for efficiency and performance improvements.
• Integrate data from various sources, including databases, APIs, and third-party services.
• Develop and maintain documentation for data architecture, pipelines, and processes.
• Stay updated on industry trends and best practices to ensure continuous improvement of data engineering processes.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• A minimum of 5 years of experience in data engineering or related roles.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with data modeling and data warehousing solutions (e.g., Snowflake, Redshift).
• Strong understanding of SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud environments (e.g., AWS, Google Cloud).
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

Technologies & Tools

The Senior Data Engineer will work with a variety of technologies and tools to facilitate data management and analysis. These may include cloud platforms such as Amazon Web Services (AWS) and Google Cloud, big data technologies like Apache Spark and Hadoop, database systems including PostgreSQL and Snowflake, as well as data integration tools and ETL frameworks. Proficiency in programming languages such as Python and SQL will be vital to develop and maintain data solutions effectively.

Ideal Candidates

The ideal candidate for this position will possess a strong technical acumen coupled with a passion for data-driven decision-making. Excellent problem-solving skills, a proactive mindset, and the ability to work independently in a remote setting are essential. Candidates should demonstrate a collaborative spirit, keen analytical thinking, and a commitment to continuous learning and improvement. A genuine interest in leveraging data to drive innovations in the bio-pharmaceutical field will set successful candidates apart.