Applications Development Tech Lead Analyst (Data Engineer)
Applications Development Tech Lead Analyst (Data Engineer)
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1 Vacancy
Job Description
The Applications Development Tech Lead Analyst is responsible for driving application systems analysis development and maintenance activities while leading a team to implement new or revised application systems and programs. This role requires hands-on development technical leadership and end-to-end participation in the software development lifecycle in close coordination with the Technology team. The objective is to deliver high-quality scalable and efficient data engineering solutions.
Key Responsibilities-
Lead one or more Applications Development teams to achieve established goals and deliverables.
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Utilize in-depth knowledge across multiple application development domains to provide technical oversight for systems and applications.
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Review analyze and develop proposed technical solutions for projects.
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Contribute to the formulation of development strategies and alignment with business objectives.
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Build a comprehensive understanding of how technology integrates with business operations to meet organizational goals.
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Apply evaluative judgment and analytical skills to solve complex and unique technical challenges.
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Monitor delivery outcomes manage budgets and oversee day-to-day staff and resource allocation.
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Ensure adherence to essential procedures and standards collaborating with internal and external stakeholders as needed.
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Promote risk-aware decision-making and ensure compliance with policies regulations and ethical standards to protect Citigroups reputation clients and assets.
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Supervise and create accountability within the team to maintain compliance and performance standards.
The Data Engineering Lead will manage and guide a team of data engineers working on a Big Data platform and must possess the following core competencies:
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Big Data Architecture: Strong understanding of architecture design troubleshooting and performance tuning on Hadoop (Cloudera preferred).
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Hands-on Development: Expertise with Hive Impala Kafka HBase and Spark for data curation and conformance.
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Programming: Strong Spark development with Scala (Java background preferred).
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Streaming & Batch Processing: Proficiency with Spark/Kafka or equivalent technologies for event-driven and batch data processing.
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Data Analysis: Strong analytical skills with ability to manipulate data for business reporting and insights.
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Database Integration: Experience with SQL (Oracle SQL Server) NoSQL (MongoDB) and Caching (Couchbase) systems.
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Leadership & Mentorship: Ability to mentor junior developers and foster a collaborative team culture.
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Communication: Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
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DevOps Practices: Experience with CI/CD pipelines and tools such as Jenkins TeamCity SonarQube OpenShift ECS or Kubernetes.
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Software Engineering Principles: Knowledge of design patterns coding standards modular design and prototyping.
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Data Visualization: Familiarity with tools and techniques for presenting data insights.
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Agile Methodologies: Hands-on experience in Agile and Scaled Agile environments.
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Experience with Cloudera/Hortonworks AWS EMR and S3.
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Exposure to Cloud Integration using AWS Snowflake or GCP components.
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Experience with API development and working with JSON/XML/Hypermedia data formats.
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Functional knowledge across banking and financial products such as Payments Digital Channels Liquidity Trade Sales and Pricing.
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8 12 years of relevant experience in Big Data Application Development.
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Experience as an Applications Development Manager or senior-level engineer.
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Strong stakeholder management and team leadership experience.
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Proven project management skills and ability to deliver under tight deadlines.
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Knowledge of industry best practices and standards.
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Bachelors degree or equivalent experience required.
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Masters degree preferred.
Apache Hadoop Apache Hive Apache Impala Apache Kafka Apache Spark Big Data Java Scala MongoDB NoSQL Oracle Database Python RDBMS Couchbase
Employment Type
Full-time
