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Technical Lead Etl and Cognos
hace 1 semana
Responsibilities:
- Applies indepth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflows.
- Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging indepth understanding of how areas collectively integrate within the subfunction.
- Assumes informal/formal leadership role through coaching and training of new recruits.
- Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.
- Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
- Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
- Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
- Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.
- Consults with users and clients to solve complex system issues/problems through indepth evaluation of business processes, systems and industry standards; recommends solutions.
- Formulate and define systems scope and objectives for complex projects through research and factfinding combined with an understanding of applicable business systems and industry standards.
- Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
- Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
Qualifications:
- 58 years experience using tools for statistical modeling of large data sets
- Ability to effectively use complex analytical, interpretive and problem solving techniques
- Demonstratedinterpersonal, verbal and written communication skills
Education:
- Bachelor's/University degree or equivalent experience
- 2+ years of experience in data projects (ETL, DWH, DataLake, information analysis)
- 2+ years of experience with Relational Database Systems and SQL such as Teradata, SQLServer Oracle or similar.
- 1+ years of experience with Agile practices
- 1+ years of experience in AbInitio/BRE.
- Preferred 3+ years indepth experience with Hadoop stack (MapReduce, HDFS, YARN) and with some Hadoop ecosystems tools (HIVE, HBase, Pig, Impala, Sqoop, etc)
- Preferred 1+ years of experience in at least one scripting language (Python, SAS, etc.)
- Preferred 1+ years of experience in Cognos,
- Preferred 1+ years of experience with NoSQL implementation (Mongo, Cassandra, Neo4j, etc).
- Preferred 2+ years of experience with Linux or Unix Operative Systems
- Preferred 2+ years of experience using DevOps to do CI / CD
- Strong analytical and quantitative skills
- Data driven and results oriented.
- Experience delivering with an agile methodology.
- Experience leading infrastructure and technical programs.
- Skilled at working with third party service providers.
- Excellent written and oral communication skills.
- English 80% speaking and writing.
- Ability to deliver crossfunctional solutions with multiple customers.
- Strong people skills
- Communication complex technical concepts to nontechnical people
- High teamwork capacity
- Ability to handle multiple projects.
Job Family Group:
Technology
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Job Family:
Data Analytics
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Time Type:
Full time
- Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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