Remote Data Engineer - Ritika

Description:

• Interview Kickstart is seeking a skilled Data Engineer to join their technology team.
• The Data Engineer will play a crucial role in building and maintaining the data infrastructure that supports innovative education and training programs.
• This position involves working closely with data scientists, analysts, and other stakeholders to design, develop, and optimize data pipelines.
• The goal is to ensure reliable and actionable data to drive decision-making processes.
• Candidates who are passionate about data architecture and making an impact in the education sector are encouraged to apply.
• Key responsibilities include designing, developing, and maintaining scalable data pipelines to process and store large volumes of data.
• The Data Engineer will collaborate with data scientists and analysts to ensure data availability and usability for analysis.
• They will implement data integration strategies from multiple sources and systems.
• The role also involves optimizing data storage solutions and developing ETL (Extract, Transform, Load) processes.
• Monitoring data quality and implementing data governance best practices is essential.
• The Data Engineer will support data architecture design and contribute to building a robust data strategy.
• Staying current with emerging technologies and industry trends in data engineering and analytics is expected.

Requirements:

• A Bachelor’s degree in Computer Science, Engineering, or a related field is required.
• Candidates must have 3+ years of experience in data engineering, data architecture, or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala is necessary.
• Experience with data warehousing solutions and big data technologies (e.g., AWS Redshift, SQL, Hadoop, Spark) is required.
• A strong understanding of data modeling and database management systems is essential.
• Familiarity with ETL tools and frameworks is expected.
• Excellent problem-solving skills and a detail-oriented mindset are crucial for this position.

Benefits:

• The job offers the opportunity to work in a remote setting, providing flexibility in work location.
• Employees will be part of a technology team that is focused on innovative education and training programs.
• The position allows for collaboration with data scientists and analysts, enhancing professional growth and learning.
• There is potential for career advancement within a growing company in the education sector.
• The role provides the chance to stay current with emerging technologies and industry trends in data engineering and analytics.