Key Responsibilities:

Design and implement data lake architectures that support the storage, processing, and analysis of large and complex datasets.
Collaborate with cross-functional teams to understand data requirements and develop data lake solutions that meet business needs.
Develop and maintain data lake standards, guidelines, and best practices to ensure data quality, consistency, and security.
Lead the development of data ingestion processes, data transformation pipelines, and data access methods for the data lake.
Identify and recommend new technologies and tools to improve the performance and efficiency of the data lake.
Monitor and troubleshoot data lake performance issues, identify root causes, and implement solutions.
Develop and maintain data governance policies and procedures for the data lake.
Mentor and guide junior data engineers in data lake development and maintenance tasks.
Stay up-to-date with industry trends and advancements in data lake technologies and best practices.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of years of experience in data engineering, with a focus on data lake development.
Strong experience with cloud-based data lake solutions, such as AWS or Azure.
Proficiency in programming languages such as Python, Java, or Scala.
Extensive experience with big data technologies, such as Hadoop, Spark, and Kafka.
Experience with data modeling, data warehousing, and data integration techniques.
In-depth knowledge of SQL and NoSQL databases.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Experience in a leadership or mentorship role is a plus.

Join our team and be a part of an exciting and fast-paced environment where your skills and expertise will be valued and recognized.

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