The Data Engineer (Data Analytics Intermediate Analyst) is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:
Integrates in-depth data analysis knowledge with a solid understanding of industry standards and practices.
Demonstrates a Good understanding of how data analytics teams and area integrate with others in accomplishing objectives.
Applies project management skills.
Applies analytical thinking and knowledge of data analysis tools and methodologies.
Analyzes factual information to make accurate judgments and recommendations focused on local operations and broader impacts.
Applies professional judgment when interpreting data and results breaking down information in a systematic and communicable manner.
Employs developed communication and diplomacy skills to exchange potentially complex/sensitive information.
Demonstrates attention to quality and timeliness of service to ensure the effectiveness of the team and group.
Provides informal guidance or on-the-job-training to new team members.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
5+ years relevant experience
Hands on design and development experience in Hadoop Platform / Hive / PySpark , Data Visualization, Shell Script, Oracle, Python/Java.
Hands on experience in SQL
Experience in Bit Bucket, Autosys, Jenkins
Knowledge of Citi Products and their life cycle is added advantage.
Knowledge of tools for statistical modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem-solving techniques
Demonstrated interpersonal skills with ability to partner and influence across organizational lines
Consistently demonstrate clear and concise written and verbal communication
Proven ability of using complex analytical, interpretive, and problem-solving techniques
Education:
Bachelor's/University degree or equivalent experience
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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