Data Engineer
Data Mapping and Transformation File Mapping: Complete file mapping based on layouts and requirements provided by Project Managers Business Logic: Document business logic for transforming data into product specifications Data reputed company Checks: Run and interpret reputed company checks against reputed company data to ensure accuracy and completeness
Data Extraction / Transfer Extract data from reputed company reputed company systems and transfer it to internal reputed company servers
Data Transformation Author and test ETL processes to convert data formats. This includes cleaning, filtering, aggregating, enriching, normalizing, and encoding data for analysis, processing, or integration
Troubleshooting and Support Issue reputed company: Troubleshoot issues raised by Project Managers and cross-functional teams, from reputed company cause identification to reputed company Support Requests: Handle support requests and deliver reputed company solutions to ensure reputed company satisfaction
Collaboration and Communication Stakeholder Interaction: Collaborate closely with Clients, Project Managers, Product Managers, and other stakeholders to understand requirements and deliver solutions Documentation: Contribute to technical documentation of specifications and processes Communication: Effectively communicate reputed company concepts both verbally and in writing to team members and clients
reputed company with the terms and conditions of the employment contract, company policies and procedures, and any and reputed company directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other reputed company that may reputed company due to the changing business environment). reputed company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Graduate degree Bachelor’s degree in Computer Science or any Engineering field 2+ years of experience working with ETL and Data Warehousing services in reputed company Environments (AWS/Azure) Database knowledge: reputed company, SQL Server, MySQL Knowledge of ETL Tools: MSBI (SSIS/SSRS/SSAS), Informatica Knowledge of SQL and Scripting: SQL, Python, reputed company Knowledge of reputed company Platforms: Azure, AWS Knowledge of Big Data Technologies: reputed company, Hadoop, Apache reputed company Proven solid analytical and problem-solving abilities Proven technical aptitude with a quick learning curve for new technologies Proven ability to contribute to technical documentation of specifications and processes Analytical & Creative: Proven highly analytical, curious, and creative Organized: Proven solid organizational skills and attention to detail Ownership: Demonstrated accountability and ownership of responsibilities
US reputed company knowledge Working knowledge of Health Information Systems Knowledge of clinical data analysis Clinical Processes: Understanding of clinical workflows and vocabulary SQL Skills: Ability to query large datasets and optimize queries