Key Responsibilities:

Design, develop, and maintain our data infrastructure and systems, including data warehouses, data lakes, and data pipelines
Identify and analyze business requirements to design and implement data solutions that meet our business needs
Collaborate with data scientists and business analysts to understand data requirements and develop data models that support data analysis and reporting
Develop and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse
Monitor and optimize data performance and ensure data integrity and accuracy
Troubleshoot data-related issues and provide timely resolution
Stay updated with emerging data technologies and trends and make recommendations for improvements in our data infrastructure and systems
Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality and scalable data solutions

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
of experience in designing, developing, and maintaining data infrastructure and systems
of experience with Big Data technologies, including Hadoop, Spark, Hive, and Kafka
Strong understanding of data warehousing concepts and experience with data modeling and ETL processes
Proficiency in SQL and experience 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 communication and collaboration skills
Ability to work in a fast-paced and dynamic environment

Join our team and be a part of our exciting journey to revolutionize the way we handle data.

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