Key Responsibilities:

Design and implement scalable, secure, and reliable data pipelines on cloud platforms such as AWS, Azure, or Google Cloud
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
Develop and maintain data models, database schemas, and data dictionaries
Optimize and tune data systems for maximum performance and cost efficiency
Monitor and troubleshoot data pipelines to ensure data integrity and availability
Identify and implement best practices for data governance, security, and compliance
Mentor and provide technical guidance to junior data engineers

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
8+ years of experience in data engineering, with at least 4 years of experience in designing and building data pipelines on cloud platforms
Strong proficiency in SQL and experience working with relational databases such as MySQL, PostgreSQL, or SQL Server
Hands-on experience with cloud data services such as AWS S3, Redshift, Glue, or Azure Data Factory
Familiarity with data warehousing concepts and technologies such as Snowflake, BigQuery, or Azure Synapse Analytics
Experience with ETL/ELT tools such as Informatica, Talend, or Matillion
Solid understanding of data modeling, data integration, and data architecture principles
Strong problem-solving and analytical skills with the ability to troubleshoot complex data issues
Excellent communication and collaboration skills, with the ability to work effectively in a team environment

Join our dynamic team and be a part of our mission to drive data innovation and deliver value to our customers.

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