The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
Required Skills:
5+ years of experience with Hadoop (Cloudera) or Cloud Technologies Expert level building pipelines using Apache Beam or Spark Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Proficient in programming in Python with prior Apache Beam/Spark experience a plus. Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.) Experience with containerization and related technologies (e.g. Docker, Kubernetes) Experience in other open-sources like Druid, Elastic Search, Logstash etc is a plusKnowledge of agile(scrum) development methodology is a plus Strong development/automation skillsSystem level understanding - Data structures, algorithms, distributed storage & computeCan-do attitude on solving complex business problems, good interpersonal and teamwork skillsPreferred Skills:
Knowledge of modern CI/CD, TDD, Frequent Release Technologies and Processes (Docker, Kubernetes, Jenkins)Qualifications:
5-8 years' experience using tools for statistical modeling of large data setsAbility to effectively use complex analytical, interpretive and problem-solving techniquesDemonstrated interpersonal, verbal and written communication skills
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Data Analytics------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location:
Irving Texas United States------------------------------------------------------
Primary Location Full Time Salary Range:
$96,400.00 - $144,600.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Anticipated Posting Close Date:
Feb 14, 2025------------------------------------------------------
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