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Key Responsibilities:
. Design and develop robust data pipelines and ETL processes
. Support data migration from traditional systems (Oracle, Vertica) to modern cloud platforms (Snowflake, AWS)
. Build and maintain scalable data ingestion and transformation frameworks
. Optimize and tune data queries for performance and efficiency
. Implement and manage cloud-based data solutions (Snowflake, AWS, Azure)
. Work closely with architects and senior engineers on solution design
. Participate in Agile development practices (Scrum/Kanban)
. Conduct unit testing, troubleshoot issues, and ensure data quality
. Document data models, processes, and best practices
Technical Skills:
. Cloud Platforms: AWS (preferred), Snowflake, Azure (nice to have)
. Databases: Oracle, SQL Server, Vertica, MongoDB
. Languages: Python, SQL, Shell scripting (Java is a plus)
. Tools: Spark (preferred), Tableau, Jenkins, Git, Docker (basic understanding)
. Frameworks: Familiarity with REST APIs and microservices architecture
. Data Skills: Data modeling, ETL, Data Migration, Data Quality
. Agile Methodologies: Experience working in Scrum/Kanban teams
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.
Job ID: 147228913
Skills:
Data Factory, Azure Functions, Qlik Replicate, Docker, Scala, Databricks, Python, Azure DevOps, Synapse, Key Vault, ADLS Gen2
Skills:
data vault , Apache Spark, Data Warehouse, Sql, Apache Airflow, Hive, Data Lake, Python, Snowflake schema, Medallion Architecture, DLT, Data Lakehouse, Iceberg tables, dbt
Skills:
Data Modelling, Cloud Services, Python, Sql, Data Pipelines
Skills:
Web Scraping, Tableau, Sql, Gcp, Powerbi, Excel, Python, AWS, data querying, Looker, enterprise cloud computing, ETL pipelines