What are the responsibilities and job description for the Big Data Consultant position at Zenith Services Inc.?

Job Title : Big Data Engineer

W2 Only

Local to TX Only

Exp : 10 Years

Location : Irving, TX (Hybrid)

Visa : USC / GC / H4 / GCEAD Only

Reach Me : Maheshp@zenithcad.com

Key skills- Spark, PySpark, Java, Python, Scala, Devops, CI-CD, Kafka, Spring framework, AWS and MongoDB / NoSQL DB

Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.

We're seeking a passionate and highly skilled Lead Java Data Engineer to guide and mentor a talented team of engineers in building and maintaining next-generation data platform. If you're a natural leader with a deep understanding of Java, distributed systems, and a passion for pushing the boundaries of Big Data technology, we want to hear from you.

Responsibilities :

Technical Leadership : Provide technical leadership and mentorship to a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.
Architecture & Design : Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components that meet Citi's evolving business needs.
Open Source Expertise : Stay abreast of emerging open-source data technologies and evaluate their suitability for integration into Citi's platform.
Performance Optimization : Continuously identify and implement performance optimizations across the data platform to ensure optimal efficiency and responsiveness.
Collaboration & Communication : Partner closely with stakeholders across engineering, data science, and business teams to understand requirements and translate them into robust technical solutions.
Delivery & Execution : Drive the timely and high-quality delivery of data platform projects, adhering to agile methodologies and best practices.

Qualifications :

Java Expertise : 5 - 8 years of hands-on experience developing high-performance Java applications (Java 11 preferred) with a strong foundation in core Java concepts, OOP, and OOAD.

Data Engineering Fundamentals : Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink. Familiarity with event-driven architectures and experience in developing real-time, low-latency applications is essential.

Distributed Systems : Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake.

Deployment & Orchestration : Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS.

Leadership & Communication : Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams.

Problem Solving & Analytical Skills : Excellent problem-solving skills and a data-driven approach to decision-making.

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