Data Engineer

About the role

Join our dynamic team as a Data Engineer. You will be responsible for designing, implementing, and maintaining data pipelines and systems.

Responsibilities

• Design and develop scalable data pipelines using technologies like Apache Kafka, Spark, and Hadoop.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize data processing workflows to improve efficiency and reduce latency.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Stay updated with the latest trends in big data technologies and implement them in projects.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in data engineering or a similar role.
• Proficiency in Python, Java, or Scala.
• Experience with SQL and NoSQL databases.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
• Strong problem-solving skills and ability to work independently and as part of a team.

Qualifications

• Excellent communication and interpersonal skills.
• Ability to manage multiple projects simultaneously and meet deadlines.
• Passion for learning new technologies and staying current in the industry.

Skills

• Data modeling and design.
• Data warehousing and ETL processes.
• Big data technologies (Hadoop, Spark).
• Cloud computing services (AWS, Azure, Google Cloud).
• Version control systems (Git).
• Database management systems (MySQL, PostgreSQL).

Benefits

• Competitive salary package.
• Incentive-based performance bonuses.
• Vacation and sick leave.
• Paid time off for holidays and personal days.
• Flexible working hours.
• Professional development opportunities.

Pay

Commensurate with experience.

Schedule

Full-time, Monday to Friday.