Key Responsibilities:

Design and develop data pipelines to collect, process, and store data from various sources.
Collaborate with cross-functional teams to understand data requirements and identify opportunities for data integration.
Implement data quality checks and data cleansing processes to ensure the accuracy and integrity of the data.
Monitor and troubleshoot data pipeline issues, and implement solutions to improve performance and reliability.
Develop and maintain documentation for data pipelines, including data flow diagrams, data dictionaries, and technical specifications.
Stay up-to-date with new data pipeline technologies and trends, and make recommendations for improving existing processes.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 3 years of experience in a similar role, preferably in a fast-paced environment.
Strong understanding of data modeling, data warehousing, and ETL principles.
Proficiency in SQL and experience working with relational databases.
Experience with programming languages such as Python, Java, or Scala.
Familiarity with data pipeline tools and technologies such as Apache Spark, Kafka, or Airflow.
Excellent problem-solving and analytical skills.
Ability to work independently and in a team environment.
Strong communication and collaboration skills.

We offer a competitive salary, benefits package, and a dynamic work environment where your ideas and contributions are valued. Join us and be a part of our exciting journey as we continue to grow and innovate in the world of data analytics.

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