Key Responsibilities:

Design and implement data pipelines to extract, transform, and load data from various sources into our data warehouse
Develop and maintain scalable data processing solutions to handle large volumes of data
Collaborate with data scientists and analysts to understand data requirements and build data models to support their analysis
Perform data quality checks and ensure data integrity across all data sets
Optimize and tune data pipelines for performance and efficiency
Monitor and troubleshoot data pipeline issues to ensure data availability and accuracy
Develop and maintain documentation for data pipelines, data models, and data dictionaries
Stay updated with the latest data engineering tools and technologies and evaluate their potential to enhance our data infrastructure
Identify opportunities for process improvement and automation to streamline data workflows
Train and mentor junior data engineering team members

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
3+ years of experience in data engineering or a similar role
Strong proficiency in SQL and experience with relational databases
Experience with ETL tools such as Informatica, Talend, or DataStage
Hands-on experience with cloud-based data warehouses such as Snowflake, Redshift, or BigQuery
Proficiency in at least one programming language such as Python, Java, or Scala
Knowledge of data modeling concepts and best practices
Experience with data visualization tools such as Tableau, Power BI, or QlikView is a plus
Strong problem-solving and analytical skills
Excellent communication and teamwork abilities
Ability to work in a fast-paced and dynamic environment

Join our team and be part of a company that is revolutionizing the way data is used to drive business decisions.

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