Key Responsibilities:

Design, build, and maintain data lake infrastructure using cloud-based platforms such as AWS or Azure
Develop data ingestion pipelines to collect, process, and store large volumes of structured and unstructured data from various sources
Collaborate with data engineers, data analysts, and data scientists to understand data requirements and implement data solutions
Ensure data quality and integrity by implementing data governance and data quality processes
Optimize data pipelines for performance, scalability, and reliability
Troubleshoot and resolve data pipeline issues in a timely manner
Develop and maintain technical documentation for data lake architecture and processes
Stay updated with the latest trends and advancements in data lake technologies and techniques

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field
Minimum of 3 years of experience in building and maintaining data lake infrastructure
Proficiency in cloud-based platforms such as AWS or Azure
Strong experience in data ingestion tools such as Apache Spark, Kafka, or NiFi
Experience with SQL and NoSQL databases
Knowledge of data governance and data quality best practices
Familiarity with data warehousing concepts and ETL processes
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 towards building a robust and scalable data lake infrastructure to support our business growth. Apply now and take the first step towards a rewarding career with us!

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