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 contemporary 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.
• St
📌 Data Platform Developer (Pune)
🏢 Citi
📍 Pune