Senior Data Engineer - Data Quality & Transformation
Collaborate cross-functionally to enhance data models and accessibility. Design and develop data transformations using PySpark on AWS Databricks. Create real-time data ingestion systems with AWS Lambda and S3. Requires travel within the US.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Perform data analysis required to troubleshoot data related issues and assist in there solution of data issues.
Work closely with a team of front end and backend engineers, product managers, and analysts.
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Create a real-time data ingestion system with AWS Lambda and S3, which facilitated efficient data storage and processing.
- Position Requirements:** Master's degree or a foreign equivalent degree in computer science, Information Technology, Information Systems, Mechanical Engineering, Computer Applications, Electrical and/or Electronics Engineering, Engineering (any) or related field.
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The employer is in the field of Information Technology implementing projects for clients in various states throughout the country. Depending on the scope of the project, these implementations could sometimes take days, weeks, months, or years. Hence, the beneficiary may have to either travel or relocate to these client sites depending on the duration of the
project. Therefore, the employer has indicated that the position requires travel/relocation to various unanticipated client locations throughout the U.S. with expenses paid by the employer.
Since this is a future position, providing a timeline and the frequency of travel for a project that will be assigned at a later stage is currently not possible. Therefore, the employer has indicated that the position requires travel/relocation to various unanticipated client locations throughout the U.S. with expenses paid by the employer.
Benefits: Medical, Life Insurance and 401 k.
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