Data Engineer (Must have elite Snowflake, and Informatica)

Note : MUST HAVE ELITE SNOWFLAKE AND INFORMATICA

8+ years of overall experience in data engineering primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics (prescriptive, predictive), business intelligence, data science, and governance.
Proficiency in programming languages such as C#, Python, SQL, and Java.
Experience with Microsoft technologies (SQL Server (IaaS, PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CD Master Data Management, Data Quality), Snowflake, and other relevant industry leaders.
Communicate clearly and concisely with others, including senior leadership, in and outside of the organization in a credible, engaging, and confident manner. Possess the ability to adapt communication style and method as necessary, using the most effective communication method for each situation.
Summarize and translate complex, technical information into straightforward language that is simple, memorable, and engaging for various technical and non-technical audiences, helping with interpretation based on anticipated use of the information.
Ability to think critically and creatively. Demonstrate skill at using a variety of tools and processes to conduct research and analyses; Recognize trends in complex data and information; Use these insights to identify opportunities and make timely decisions, taking into consideration the short and long-term implications of decisions. Advise key decision makers and influence others using persuasion and negotiation tactics.
Take the initiative to make things happen. Proactively look for solutions and help others to think ahead. Accept and seek challenges; Step outside of your comfort zone. Think and act strategically to drive the success of the business and enhance our client experience. Be innovative and share ideas for continuous improvement. Look for efficiencies in the way work is completed.
Be flexible, and work effectively across various types of situations to achieve goals. Navigate through unexpected issues and be responsive to others needs. Prioritize different work streams and balance short-term versus long-term objectives.