Senior Data Engineer, Citi

Citi

Location:
India, Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Senior Data Engineer role designing, developing, and implementing cutting-edge data engineering solutions using modern big data and cloud technologies. Collaborates with product owners, data scientists, analysts, and technologists to deliver scalable, high-performance data products in an agile environment.

Job Responsibility:

Design and develop scalable big data solutions using platforms like Hadoop, Snowflake, or other modern data ecosystems
Collaborate with domain experts, product managers, analysts, and data scientists to build robust data pipelines
Lead migration of legacy workloads to cloud platforms (AWS, Azure, or GCP)
Develop and implement cloud-native solutions for data processing and storage
Partner with data scientists to build data pipelines from heterogeneous sources
Enable advanced analytics and machine learning workflows
Implement CI/CD pipelines to automate data engineering workflows
Research and evaluate open-source technologies
Mentor team members on big data and cloud technologies
Define and enforce coding standards and reusable components
Convert SAS-based pipelines into modern frameworks like PySpark, Scala, or Java
Optimize big data applications for performance and scalability
Analyze evolving business requirements and recommend enhancements
Ensure compliance with applicable laws, regulations, and organizational policies

Requirements:

8+ years of experience with Hadoop (Cloudera) and big data technologies
Advanced knowledge of Hadoop ecosystem including HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, and Solr
Proficiency in Java, Python, or Scala
Hands-on experience with Spark programming (PySpark, Scala, or Java)
Familiarity with Apache Beam
Experience with cloud platforms like AWS, Azure, or GCP
Expertise in designing and developing data pipelines for ingestion, transformation, and processing
Experience with Snowflake or Delta Lake
Hands-on experience with containerization tools like Docker and Kubernetes
Proficiency in DevOps practices including source control, CI/CD, and automated deployments
Experience with Python libraries for machine learning and data science workflows
Strong knowledge of data structures, algorithms, distributed storage, and compute systems
1+ year of SAS experience preferred
1+ year of Hadoop administration experience preferred
Strong problem-solving and analytical skills
Excellent interpersonal and teamwork abilities
Proven leadership experience including mentoring and managing a team
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Nice to have:

Familiarity with Apache Beam
Experience with Snowflake or Delta Lake
1+ year of SAS experience
1+ year of Hadoop administration experience

Additional Information:

Job Posted:
August 21, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Data Engineer