Description

Key Skills: Big Data, Oracle, Azure, Snowflake, ETL, Python, Azure Data Factory, Informatica, SnapLogic, Apache Spark

Good to Have Skills: Platform Engineering, Multi-tenant Database Design, Data Modeling, Advanced SQL, Azure SQL Managed Instance, MySQL, ELT, Azure Functions, Batch Data Processing, Feature Engineering, GitHub, CI/CD, DataOps, Azure Event Hubs, Kafka, Amazon Kinesis, Confluence, Draw.io, Metadata Management, Data Lineage, Production Support, Incident Management, Root Cause Analysis, Financial Services, Benefits Administration, Data Architecture, Batch Pipelines, Streaming Pipelines, Lakehouse, Delta Lake, Apache Iceberg, Apache Hudi, Data Warehouse, Semantic Data Modeling, Azure Databricks, Azure Kubernetes Service, Azure Service Bus, API Management, Azure Storage Accounts, Azure Event Grid, Azure Redis Cache, SQL Server, PostgreSQL, Cosmos DB, MongoDB, Azure DevOps, GitHub Actions, Unit Testing, Integration Testing, Data Quality, Great Expectations, Deequ, Monte Carlo, Schema Evolution, Partitioning, Performance Tuning, Business Intelligence, Analytics, Agile, Scrum, Jira, dbt, Control-M, DB2, CICS, Kubernetes, Containerization, Infrastructure as Code, Terraform, ARM Templates, Bicep.

Roles & Responsibilities:

• Architect scalable cloud data platforms to support enterprise analytics and personalized customer experiences
• Design and implement high-performance batch and streaming data pipelines for modern data processing
• Build ETL/ELT solutions using Informatica, SnapLogic, Azure Data Factory, Azure Functions, Python and Databricks
• Develop lakehouse and data warehouse solutions for comprehensive data storage and analysis
• Create scalable semantic data models to support business intelligence and analytics requirements
• Optimize SQL queries and database performance to ensure efficient data processing and retrieval
• Implement DataOps and CI/CD practices to streamline development and deployment processes
• Automate deployments and data quality validation to ensure reliable and consistent data operations
• Design metadata management systems to maintain data lineage and governance standards

Experience Required: 5+ years of experience in data engineering with focus on cloud data platforms and analytics

Key Skills

Education

Any Graduate