▷ Apply in 3 Minutes Uspb Mis Reporting – Re-engineering

We are seeking an exceptionally skilled and experienced Lead Data Engineer to spearhead the re-engineering and automation of our Management Information Systems MIS reporting processes The ideal candidate will possess deep expertise in data engineering automation and Big Data technologies particularly SAS and PySpark You will collaborate extensively with our larger MIS reporting team understand the existing operational models standardize disparate processes and implement end-to-end automation solutions Key Responsibilities Process Analysis Re-engineering Conduct in-depth analysis of existing manual MIS reporting processes and data flows within USPB MIS reporting team Identify inefficiencies redundancies and opportunities for standardization and automation Solution Design Development Design architect and develop robust scalable and automated data pipelines and reporting solutions This includes ETL ELT processes data warehousing solutions and reporting frameworks that meet stringent banking standards Technical Implementation Implement automation solutions using advanced programming techniques with a strong focus on SAS and PySpark in a Big Data environment Develop code scripts and configurations for data extraction transformation loading and report generation Standardization Best Practices Drive the adoption of consistent reporting standards data governance principles and best practices across all MIS reporting activities Re-engineer existing reports to ensure data quality accuracy and adherence to new standards Collaboration Mentorship Work closely with the MIS reporting team business stakeholders and IT partners to gather requirements define technical specifications and ensure successful delivery of automation initiatives Provide technical leadership guidance and mentorship to team members Data Quality Integrity Ensure the highest levels of data quality integrity and security throughout the automated reporting lifecycle Implement robust error handling monitoring and validation mechanisms Technology Advancement Stay abreast of emerging data engineering Big Data and automation technologies Propose and implement innovative solutions to continuously improve reporting efficiency and analytical capabilities Documentation Create comprehensive technical documentation for all developed solutions data models and processes Required Qualifications Experience 8-12 years of progressive experience in data engineering data warehousing business intelligence and process automation preferably within a large financial institution or banking environment Big Data Expertise Extensive hands-on experience with Big Data technologies and ecosystems e g Hadoop Spark Hive Kafka Programming Languages Strong proficiency in SAS programming for complex data manipulation statistical analysis and reporting Demonstrated expertise in PySpark for large-scale data processing ETL ELT and automation within a Big Data context Database Skills Solid understanding of relational databases SQL Server Oracle etc SQL data modeling dimensional normalized and database performance tuning Automation Proven track record of designing and implementing end-to-end data automation solutions reducing manual efforts and improving operational efficiency Analytical Problem-Solving Exceptional analytical problem-solving and critical thinking skills with the ability to translate complex business requirements into technical solutions Communication Excellent verbal and written communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences Collaboration Ability to work effectively in a team-oriented collaborative environment and influence stakeholders at various levels Education Bachelor s or Master s degree in Computer Science Data Engineering Information Systems or a related quantitative field Job Family Group Decision Management Job Family Data Information Management Time Type Full time Most Relevant Skills Please see the requirements listed above Other Relevant Skills For complementary skills please see above and or contact the recruiter Citi is an equal opportunity employer and qualified candidates will receive consideration without regard to their race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other characteristic protected by law If you are a person with a disability and need a reasonable accommodation to use our search tools and or apply for a career opportunity review View Citi s and the poster