Data Platform Developer

Citi; Maharashtra; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Citi is seeking a highly experienced Data Engineer to join our technology team in India. The role focuses on building scalable data pipelines, data warehouses, and cloud-native data platforms to support analytics and decision making.

You will work with Snowflake, PySpark, Python, SQL, and AWS services to deliver end-to-end data solutions, enforce data quality, and optimize performance in a fast-paced Agile environment.

Qualifications

• 5-8 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development.
• Hands-on experience with Snowflake, PySpark, Python, and SQL.
• Experience designing scalable ETL/ELT pipelines for large datasets.
• Understanding of dimensional modeling and metadata-driven frameworks.

Responsibilities

• Design and develop scalable ETL/ELT pipelines for large-volume datasets.
• Build cloud-native data solutions and modern data platforms.
• Ensure data quality, lineage, governance, and regulatory compliance.

Skills

Data engineering

ETL/ELT pipelines

SQL

Python

PySpark

Cloud platforms

Data warehousing

AGILE

Data governance

Tools

Snowflake

Airflow

Git

Jenkins

Terraform

AWS

Job description

We are seeking highly experienced Data engineer to join our team.

Experience

• 5-8 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development.

Data Engineering

• Strong hands-on experience with Snowflake, PySpark, Python, and SQL.
• Expertise in designing and developing scalable ETL/ELT pipelines for large-volume datasets.
• Experience with data ingestion, transformation, data quality, reconciliation, and performance optimization.
• Strong understanding of dimensional modeling, data warehousing concepts, and metadata-driven frameworks.

Cloud & Big Data

• Hands-on experience with AWS services such as S3, Glue, Lambda, EMR, Athena, Redshift, ECS/EKS, and IAM.
• Experience building cloud-native data solutions and modern data platforms.
• Strong understanding of distributed processing and big data architectures.

Snowflake

• Expertise in Snowflake architecture, SnowSQL, Streams, Tasks, Dynamic Tables, Snowpark, Data Sharing, and Performance Tuning.
• Experience implementing scalable data marts, semantic layers, and enterprise reporting solutions.
• Knowledge of Snowflake security, governance, and cost optimization best practices.

AI & Emerging Technologies

• Exposure to Generative AI, Agentic AI, LLMs, Vector Databases, and AI-powered analytics solutions.
• Experience leveraging AI services for data discovery, data quality, metadata management, or business insights.
• Understanding of RAG architectures, embeddings, and AI-assisted data engineering workflows.

DevOps & Automation

• Experience with Git, Jenkins, GitHub Actions, Terraform, and Infrastructure as Code.
• Familiarity with CI/CD pipelines and automated deployment of data workloads.
• Experience with workflow orchestration tools such as Airflow or similar platforms.

Data Integration

• Experience integrating data from relational databases, APIs, event streams, and enterprise applications.
• Exposure to CDC, real-time processing, Kafka, and event-driven architectures.
• Strong understanding of data lineage, governance, retention, and regulatory compliance requirements.

Soft Skills

• Strong analytical and problem-solving skills.
• Ability to work independently in a fast-paced Agile environment.
• Excellent communication and stakeholder management skills.

Preferred

• Experience with Oracle, Hadoop modernization, Ab Initio migration, or enterprise data platform transformation initiatives.
• Exposure to Data Mesh, Data Fabric, and modern analytics architectures.
• Financial Services or Regulated Industry experience.
• Experience building AI-ready data platforms and supporting advanced analytics use cases.

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.

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