The Senior Big Data engineering lead will play a pivotal role in designing, implementing, and optimizing large-scale data processing and analytics solutions. This role requires a visionary leader who can drive innovation, define architecture strategy, and ensure the scalability and efficiency of our big data infrastructure.

• Key Responsibilities
• Lead the design and development of a robust and scalable big data architecture handling exponential data growth while maintaining high availability and resilience.
• Design complex data transformation processes using Spark and other big data technologies using Java ,Pyspark or Scala
• Design and implement data pipelines that ensure data quality, integrity, and availability.
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
• Evaluate and select technologies that improve data efficiency, scalability, and performance.
• Oversee the deployment and management of big data tools and frameworks such as Hadoop, Spark, Kafka, and others.
• Provide technical guidance and mentorship to the development team and junior architects.
• Continuously assess and integrate emerging technologies and methodologies to enhance data processing capabilities.
• Optimize big data frameworks, such as Hadoop, Spark, for performance improvements and reduced processing time across distributed systems.
• Innovate in designing, developing, and refining data pipeline architectures to enhance data flow and ensure data processing capabilities.
• Implement data governance frameworks to ensure data accuracy, consistency, and privacy across the organization, leveraging metadata management and data lineage tracking.
• Conduct benchmarking and stress testing of big data solutions to validate performance standards and operational capacity.
• Ensure compliance with data security best practices and regulations.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Information Technology, or related field.
• Atleast 10 -12 years overall software development experience on majorly working with handling application with large scale data volumes from ingestion, persistence and retrieval.
• Deep understanding of big data technologies, including Hadoop, Spark, Kafka, Flink, NoSQL databases, etc.
• Experience with Bigdata technologies Developer Hadoop , Apache Spark ,Python, PySpark
• Strong programming skills in languages such as Java, Scala, or Python.
• Excellent problem-solving skills with a knack for innovative solutions.
• Strong communication and leadership abilities.
• Proven ability to manage multiple projects simultaneously and deliver results.

Preferred Skills:

• Experience with data modeling and ETL/ELT processes.
• Experience in moving ETL frameworks from proprietary ETL technologies like Abinitio to Apache Spark
• Familiarity with machine learning and data analytics tools.
• Knowledge of core banking/financial services systems

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

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.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.