Key Responsibilities:

Design, develop, and maintain data pipelines and systems for data ingestion, transformation, and storage.
Collaborate with clients to understand their data requirements and provide tailored solutions to meet their business needs.
Develop and implement data quality and data governance processes to ensure data accuracy and integrity.
Utilize various programming languages and tools such as SQL, Python, and Hadoop to build and maintain data pipelines.
Perform data analysis and provide insights to enhance data-driven decision making for our clients.
Develop and maintain data models and databases for efficient data retrieval and storage.
Troubleshoot and optimize data pipelines and systems to ensure optimal performance.
Stay updated with industry trends and best practices in data engineering and recommend innovative solutions to clients.

Requirements:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of 5 years of experience in data engineering or a related field.
Strong proficiency in SQL and experience with programming languages such as Python, Java, or Scala.
Experience with data warehousing and ETL tools.
In-depth knowledge of relational and NoSQL databases.
Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud.
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills to effectively collaborate with clients and team members.
Ability to work independently and manage multiple projects simultaneously.

Benefits:

Family and medical leave (FMLA)
Competitive salary and benefits package.
Opportunities for career growth and development.
Collaborative and inclusive work environment.
Flexible work arrangements.
Continuous learning and training opportunities.

Join our team of experts and help our clients harness the power of data to drive their business forward. Apply now and be a part of our journey towards innovation and success.

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