Key Responsibilities:

Design, develop, and maintain data pipelines to support the collection, processing, and storage of large-scale data sets.
Build and maintain scalable data warehouse solutions that can handle both structured and unstructured data.
Collaborate with data scientists and analysts to understand their data needs and develop solutions to support their analysis and reporting.
Develop and maintain ETL processes for data ingestion, transformation, and loading into our data warehouse.
Troubleshoot and optimize data pipelines to ensure data accuracy and performance.
Implement data quality checks and monitoring to ensure data integrity.
Work with cross-functional teams to identify and resolve data-related issues.
Keep up-to-date with the latest data engineering technologies and tools and make recommendations for their implementation.
Document data pipelines and processes for future reference.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 3 years of experience in a data engineering role.
Strong understanding of data architecture and data modeling concepts.
Proficient in SQL and experience with data warehousing technologies such as Redshift, Snowflake, or BigQuery.
Experience with ETL tools such as Informatica, Talend, or Matillion.
Familiarity with programming languages such as Python, Java, or Scala.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Excellent problem-solving and analytical skills.
Strong attention to detail and ability to work with large data sets.
Excellent communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.

Apply now and take the next step in your data engineering career!

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