Responsibilities

Experience with Agile Methodology
ITIL certification
Knowledge of best practices for code review and management in GitHub
Experience in design and development of data lakes, data warehouses, data marts and schema design
Building and maintaining complex data pipelines
Expertise in performing data extraction, profiling, cleansing, conversion, transformation and loading of data
Knowledge of CI/CD, Infrastructure as Code and more generally Everything as Code
Experience with DBMS software and tools (PostgreSQL, Oracle, Snowflake, Teradata, MS SQL Server, MongoDB, Toad, Hadoop, Couch DB, etc.)
Expertise in data management (structured/unstructured), data mining and reporting technologies
Extensive experience with data modeling using Erwin, Power Designer, Toad or similar software
Experience working with Amazon AWS, Microsoft Azure, Spark framework
Experience with a multitude of AWS services; especially Glue, DMS, Cloud Formation, IAM, Route53, ALB/ELB, VPC, EC2, Lambda, S3, KMS, Cloud Trail, Config, Cloud Watch
Experience with Azure services; especially Azure Data Factory, Azure Resource Manager, Azure Synapse, Azure Functions, Azure Data Lake Analytics, Azure Data Lake Storage, Azure Monitor
Experience with SQL, PL/SQL, Python, Spark Framework, YAML, JSON, Chef
Experience with Docker, NodeJS, Ansible, Docker, Jenkins, Unix, Linux
Strong understanding of cybersecurity operation principles
Knowledge of industry standard NIST framework

Additional Preferences

Data Architect

Job Description