Data Engineer

About the role

A Data Engineer position is available within our growing data analytics team. The ideal candidate will be responsible for designing, implementing, and maintaining large-scale data pipelines using technologies such as Apache Hadoop, Spark, and Kafka.

Responsibilities

• Design and implement scalable data processing pipelines using big data technologies.
• Collaborate with data scientists and analysts to understand their data needs and translate those into technical solutions.
• Optimize data pipelines for performance and reliability.
• Develop and maintain data quality checks and monitoring systems.
• Work closely with other engineers and data scientists to ensure seamless integration of data pipelines into existing systems.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 2 years of professional experience in data engineering or a related field.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Strong understanding of SQL and NoSQL databases.
• Proficiency in Python, Java, or Scala.
• Excellent problem-solving skills and ability to work independently and as part of a team.

Qualifications

• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Knowledge of data warehousing concepts and tools such as Redshift, BigQuery, or Snowflake.
• Experience with data modeling and ETL processes.
• Good understanding of data security best practices.

Skills

• Strong analytical and problem-solving skills.
• Ability to work under pressure and meet deadlines.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary commensurate with experience.
• Flexible working hours.
• Professional development opportunities.
• Health insurance coverage.
• Employee discounts on technology products.

Pay

Salary is competitive and commensurate with experience.

Schedule

The role is full-time and based in our office in [City].