Key Responsibilities:

Collaborate with the data engineering team to design, build and maintain data pipelines
Monitor and troubleshoot data pipeline issues to ensure data accuracy and integrity
Develop and implement data quality checks to identify and resolve data issues
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions
Design and implement data transformation processes to optimize data processing and delivery
Create and maintain technical documentation for data pipelines and processes
Stay up-to-date with emerging technologies and industry trends to continuously improve data pipeline processes

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field
Minimum of 2 years of experience in data engineering or a similar role
Strong understanding of data pipelines, data warehousing, and ETL processes
Proficient in SQL and programming languages such as Python, Java, or Scala
Experience with data integration tools such as Apache Spark, Hadoop, or Airflow
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud
Excellent problem-solving and analytical skills
Strong communication and teamwork abilities
Ability to work in a fast-paced and dynamic environment
Experience in data visualization tools such as Tableau or Power BI is a plus

At Lobox, we value diversity and are committed to creating an inclusive work environment. We welcome candidates of all backgrounds to apply.

Apply now and take the first step towards an exciting and rewarding career with us!

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