System Analyst (Azure/Databricks)

Requirements:

• At least 2 years of experience in Data Platforms solutions, tools, and platforms preferably Azure & Databricks
• Minimum 5 years of experience in IT development and system analysis.
• Has worked with Agile and Waterfall delivery methods.
• Hands-on experience with Microsoft Azure technology stack or similar Cloud solutions
• Hands-on experience in Data and Analytics projects involving data integration, data migration, ETL/ELT processes, APIs, system interfaces, Microsoft Azure Services and data validation activities.
• Experience supporting testing activities, including functional testing, system integration testing (SIT), user acceptance testing (UAT), and end-to-end (E2E) validation.
• Proven experience in data modeling, including conceptual, logical, and physical data model design to support enterprise data management initiatives
• Programming Languages: Experience and knowledge in coding in Python, SQL, Java is an advantage.
• Analytical Thinking: Strong solution definition, analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions under pressure
• Technical and Business Communication: Ability to communicate both in technical language with developers and business language with business partners.
• Technical Competency: Excellent understanding of solution development methodologies and application development with high level understanding on financial products and processes. Hands on experience (implemented and completed at least 2 projects, end to end) on
• Informatica Data Management Cloud (IDMC), Cloud Data Integration and Cloud Application Integration
• Enterprise ETL (Extract Transform, Load)
• SQL Proficiency. Strong knowledge of SQL for querying and manipulating databases.
• Working knowledge of Microsoft Azure cloud technologies is an advantage
• Knowledge on SDLC: Knowledge, understanding and experience of software development life cycle, agile methods and processes, and capability to support project and delivery teams.
• Continuous Learning & Improvement: Look actively for opportunities to shorten development times, improve skills of the team and improve cost efficiency of application development activities.
• Troubleshooting and Problem Solver: Ability to identify and resolve issues related to data quality, integration, and platform performance