Key Responsibilities:

Collaborate with data scientists, analysts, and other team members to design and implement data lake solutions that meet business requirements
Develop and maintain data pipelines to ingest, clean, and transform data from various sources into the data lake
Build and maintain data models to support data analysis and reporting
Optimize data lake performance and troubleshoot any issues that arise
Monitor data quality and implement data governance policies to ensure data accuracy and consistency
Conduct data profiling and data quality checks to identify and resolve any data issues
Identify opportunities to improve data lake efficiency and propose solutions to enhance data processing and storage capabilities
Stay up-to-date with emerging data lake technologies and best practices, and make recommendations for their implementation
Assist with the development and maintenance of data lake documentation and data dictionaries
Collaborate with cross-functional teams to implement data lake security measures and ensure data privacy compliance
Provide technical support and training to end-users on data lake usage and capabilities

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field
1-2 years of experience in data engineering, data warehousing, or a similar role
Strong programming skills in languages such as SQL, Python, or Java
Experience with data lake technologies such as Hadoop, Spark, or AWS S3
Familiarity with data modeling and data warehousing concepts
Knowledge of data governance and data quality best practices
Excellent problem-solving and analytical skills
Strong attention to detail and ability to work with large datasets
Ability to work independently and in a team environment
Excellent communication and interpersonal skills

We offer competitive compensation and benefits package, as well as opportunities for career advancement. Join our team and be a part of shaping the future of our data infrastructure.

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