• 7+ years’ experience in data engineering and management, data mining, data analytics, data reporting, data product development and quantitative analysis.
• Financial Institution or a Payments experience a plus
• Proactive self-starter seeking initiatives to advance.
• Data architecture experience and experience in building data models.
• Experience with data validation, quality control and cleansing processes to new and existing data sources.
• Advanced SQL skills, ability to write optimized queries for large data sets.
• Expert in writing stored procedures, functions and views is preferable.
• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies
• Exposure to Python, Scala, Hive, Impala, Spark, Cloud, and other related technologies.
• Experience in data pipeline creation via tools such as Alteryx, SSIS etc.
• Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools.
• Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus.
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Must be able to interact with management, internal stakeholders and collect requirements.
• Must be able to perform in a team, use judgment and operate under ambiguity.
• Experience for leading the entire project and manage timely execution of the plan, provide regular update to key stakeholders.
  
  
  

Education

• Bachelor’s or master’s degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred.
  
  
  

Additional Competencies

• Excellent English, quantitative, technical, and communication (oral/written) skills.
• Analytical/Problem Solving
• Team player, excellent communication skills
• In depth technical knowledge, drive, and ability to learn new technologies.
• Strong attention to detail and quality
• Creativity/Innovation