.Position OverviewMCI is a leading Business Process Outsourcing (BPO) company that specializes in delivering tailored solutions to meet the diverse needs of our clients.
With a commitment to excellence and a focus on innovation, we have established ourselves as a trusted partner in the industry.We are seeking a highly skilled and motivated Senior Data Analyst to join our dynamic team.
In this role, you will work closely with Data Analysts and Data Scientists to design and implement scalable, repeatable data processes within Azure infrastructure.
The ideal candidate will excel in integrating data from diverse legacy databases and third-party APIs while driving data transformation and innovation.To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.Key ResponsibilitiesData Pipeline Development: Design, build, and manage efficient and scalable data pipelines using Azure Synapse and Data Factory.
Consolidate data from diverse sources into centralized warehouses or lakes and troubleshoot pipeline issues to ensure functionality.SQL Query Expertise: Leverage advanced SQL skills to extract, manipulate, and analyze large datasets, including data cleaning and preparation tasks.Python-based Data Transformation: Develop and automate data transformation processes using Python, integrating data from various sources and altering data formats to meet business needs.Data Modeling and Warehouse Management: Create and manage data models and warehouse structures optimized for querying and analysis, including expertise with Power BI data models (preferred).Performance Optimization: Continuously monitor and enhance the performance of data pipelines, ETL processes, and database systems to ensure reliability and efficiency.Data Security and Compliance: Uphold the highest standards of data security and ensure compliance with relevant data protection regulations.Team Collaboration: Work closely with Data Analysts, Data Scientists, and other stakeholders to align data infrastructure with organizational goals, while effectively communicating technical concepts to diverse audiences.Candidate QualificationsAll Positive, And Driven Applicants Are Encouraged To Apply.
The Ideal Candidates For This Position Are Highly Motivated And Dedicated And Should Possess The Below Qualities:Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is required; a Master's degree is preferred.5–7 years of hands-on experience in data engineering, with a proven track record of working with Azure-based data solutions.
Previous experience in a senior or lead role is highly desirable.Expertise in Azure data services, including Synapse and Data Factory.Advanced SQL skills for large-scale data manipulation and analysis.Proficiency in Python for data transformation and automation