Data Platform Developer
Citi · Pune, India · 2d ago
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.
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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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