Key Responsibilities:

Lead the design, development, and maintenance of our big data infrastructure and systems
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
Build and maintain data pipelines for efficient data ingestion, processing, and storage
Identify and implement improvements to our data architecture and processes to optimize performance and scalability
Develop and maintain data models, schemas, and data dictionaries
Ensure data quality and integrity through data validation and testing
Troubleshoot and resolve data-related issues in a timely manner
Stay up-to-date with the latest big data technologies and trends, and make recommendations for their implementation
Lead and mentor a team of engineers, providing technical guidance and support
Work closely with stakeholders to understand their needs and provide effective solutions
Participate in code reviews and provide constructive feedback to ensure code quality and best practices
Collaborate with other teams to integrate data solutions into our products and services

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum of 5 years of experience in big data engineering
Proven experience in designing and developing big data infrastructure and systems
Strong hands-on experience with big data technologies such as Hadoop, Spark, Kafka, etc.
Proficiency in programming languages such as Java, Python, or Scala
Experience with cloud platforms such as AWS, GCP, or Azure
Knowledge of SQL and NoSQL databases
Excellent problem-solving and analytical skills
Ability to work in a fast-paced and dynamic environment
Strong communication and leadership skills
Experience in leading a team is a plus

Apply now and be a part of our growing success!

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