Key Responsibilities:

Design and develop our company's data lake infrastructure, including data ingestion, storage, and processing capabilities
Collaborate with data scientists and data analysts to understand their data requirements and translate them into technical solutions
Ensure the scalability and performance of the data lake to meet the growing needs of our business
Implement and maintain data governance policies and procedures to ensure the security and integrity of our data
Troubleshoot and resolve any issues or errors that may arise in the data lake
Develop and maintain documentation of the data lake architecture, data flows, and data dictionaries
Lead a team of data engineers and provide technical guidance and mentorship
Stay updated with the latest data lake technologies and trends, and make recommendations for improvements to our data lake infrastructure

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum of 5 years of experience in data engineering, with at least 2 years in a lead or senior role
Strong experience with building and maintaining data lakes using modern big data technologies such as Hadoop, Spark, and Kafka
Proficient in programming languages such as Python, Java, or Scala
In-depth knowledge of data warehousing, data modeling, and ETL processes
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Familiarity with data governance and data security principles
Excellent problem-solving and analytical skills
Strong communication and leadership skills
Ability to work in a fast-paced and collaborative environment

Apply now and be a part of our exciting journey towards revolutionizing the way we manage and utilize our data.

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