Data Analyst
SGS Consulting
Job Responsibilities:
- Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
- Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools.
- Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support.
- Provide technical leadership and collaborate within a team environment as well as work independently.
- Be a part of a DevOps team that completely owns and supports their product
- Implement batch and streaming data pipelines using cloud technologies
- Leads development of coding standards, best practices and privacy and security guidelines.
- Mentors others on technical and domain skills to create multi-functional teams
Skills:
- Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
- Python, Spark, Unix, SQL
- Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer
- CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
- BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Education/Experience:
- Bachelor's
Vacancy posted more than 2 months ago
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