Key Responsibilities:

Design and build scalable, fault-tolerant, and efficient data pipelines to process large volumes of data
Develop data models and implement data warehousing solutions to support business analytics and reporting needs
Collaborate with cross-functional teams to identify data requirements and design solutions that meet business needs
Ensure data quality and integrity by implementing data validation and monitoring processes
Optimize and tune data systems for maximum performance and scalability
Identify and troubleshoot issues related to data ingestion, processing, and delivery
Stay updated with the latest technologies and industry trends in data engineering and recommend best practices for data management
Mentor and provide technical guidance to junior data engineers in the team

Requirements:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Minimum of 8 years of experience in data engineering with proven experience in designing and building data pipelines
Strong programming skills in languages such as Python, Java, or Scala
Experience with big data technologies such as Hadoop, Spark, and Kafka
Proficient in SQL and database technologies like MySQL, PostgreSQL, or Oracle
In-depth understanding of data modeling and data warehousing concepts
Familiarity with cloud computing 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 agile environment

Join our team and be part of a company that values innovation, teamwork, and continuous learning.

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