Data Analytics Senior Analyst (Python/PySpark Developer)- C12 - PUNE

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:

• Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.
• Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.
• 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 in-depth evaluation of business processes, systems and industry standards; recommends solutions.
• Leads system change process from requirements through implementation; provides user and operational support of application to business users
• Formulate and define systems scope and objectives for complex projects through research and fact-finding 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.
• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
• 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:

• Total 8-12 years of development experience.
• 5-6 years of experience as a python developer with expertise in automation testing to design, develop, and automate robust software solutions.
• 2-4 years of experience as Big Data Engineer to develop, optimize, and manage large-scale data processing systems and analytics platforms.
• 3-4 years of experience in distributed data processing & near real-time data analytics using PySpark. Strong understanding of PySpark execution plans, partitioning & optimization techniques.
• 2-4 years of experience in developing, and implementing ETL data pipelines for data ingestion, transformation, and processing.
• 3-5 years of experience in designing, managing, and optimizing Kafka-based messaging systems for real-time data streaming.
• Experience in Anaconda, Data bricks , Big data Technologies Hadoop, Hive, HDFS, Hue
• Familiarity with CI/CD pipelines, version control systems (e.g., Git), and DevOps practices.

Education:

• Bachelor’s/University degree or equivalent experience

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

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Job Family:

Data Analytics

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Time Type:

Full time

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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.

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