Data Engineer-(IDMC+Snowflake+SQL)

• Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas
  
• Hands on experience in PowerCenter Developer/IDMC/IICS Data Integration
  
• Experience in DW Production Support / troubleshooting data or pipeline issues
  
• Developing complex SQL queries and SQL optimization
  
• Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture.
  
• Designing and implementing data security
  
• Monitoring and optimizing data storage and data processing
  
• Use of Object function/object-oriented scripting languages including Scala, C++, Java and Python
  
• Cloud data warehouse and data lake platforms (e.g., Snowflake, Databricks, Redshift, BigQuery, MS Synapse, MS ADLS, Apache Haddop, etc.)
  
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  
• Strong project management and organizational skills.
  
• Experience supporting and working with cross-functional teams in a dynamic environment.
  
• Understanding of data science concepts
  
• Familiarity with AI/ML frameworks and libraries
  

Requirements

•             Developing data services that are fit for purpose, resilient, scalable, and future proof, to meet user needs

•             Advanced SQL knowledge and experience working with relational databases and working familiarity with various databases.

•             Demonstrated understanding and experience using software and tools including ETL, relational SQL and NoSQL databases, big data tools like Kafka, Spark, and Hadoop

•             Experience building and optimizing ‘big data’ data pipelines, architecture, and data sets.

•             Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

•             Strong analytic skills related to working with unstructured datasets.

•             Experience and knowledge of project management best practices and agile software development methodologies

•             A successful history of manipulating, processing, and extracting value from large, disconnected datasets.

•             Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

•             Strong project management and organizational skills.

•             Experience supporting and working with cross-functional teams in a dynamic environment.

•             Understanding of data science concepts

•             Familiarity with AI/ML frameworks and libraries