Data Engineer

• Ability to analyze large sets of data and determine patterns and rules for organizing and Prepare Visualization dashboards using Power BI.
• Ability to work on database management and data modelling.
• Working knowledge in developing low code solutions using power platform tools like Power Apps and Power Automate.
• Sound knowledge in ETL concepts and tools like Data Factory/SSIS.
• Design and support database and table structures for new and evolving sources of data
• Experience in working with version control tools like Git/Github
• Perform extensive and detailed data analysis necessary to ensure strict adherence to data quality.
• Take on end-to-end ownership and perform different roles within analysis and development phases.
• Set and manage expectations with clients while providing proactive communication and status updates; prioritize deliverables with client/requestor and follow/implement change control and release management processes.
• Ability to handle multiple projects and coordinate between teams from different service lines.
• Good problem solving skills and business acumen.
• Adhere to general work requirements and perform other duties as assigned.
• Clear understanding of Gen AI tools and their integrations.

Client Responsibilities:

• Need to be curious and ask the right questions to frame problems and find right analytic solutions.
• Need to work as a senior team member to contribute to various technical streams of Decision Sciences implementation project.
• Provide product and design level with the best technical practices.
• Interface and communicate with the onsite coordinators.
• Develop analytical strategies for business by leveraging the right analytical techniques and technologies.
• Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.
  • Completion of assigned tasks on time and regular status reporting to the lead