Data Platform Developer

Citibank (Switzerland) AG; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Citibank (Switzerland) AG in Pune, India is seeking a Data Platform Developer with 5-8 years of experience to design and build scalable data pipelines and data warehouses. You will work across Snowflake, PySpark, Python, and SQL to enable analytics, reporting, and data governance in a cloud-first environment.

You will participate in a hybrid setup, collaborating with global teams to optimize ETL/ELT processes, data ingestion, and data quality while ensuring performance and cost efficiency in

Qualifications

• 5-8 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development.
• Strong hands-on experience with Snowflake, PySpark, Python, and SQL.
• Expertise in designing scalable ETL/ELT pipelines for large datasets.
• Experience with data ingestion, transformation, data quality, reconciliation, and performance optimization.

Responsibilities

• Design and develop scalable data pipelines and data models.
• Collaborate with analytics teams to deliver reliable data for reporting.
• Implement data quality, lineage, and governance across platforms.
• Optimize performance of cloud data platforms and ensure cost efficiency.

Skills

Data engineering

ETL/ELT design

SQL

PySpark

Python

AWS

Data Warehousing

Airflow

Big Data

CI/CD

Tools

Snowflake

Airflow

Terraform

AWS S3

Glue

EMR

Lambda

Redshift

Kubernetes

Job description

## Data Platform DeveloperApply: Hybrid: Pune Maharashtra India: Full time: Posted Today: End Date: October 5, 2026 (10 days left to apply): 26987322We 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.