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Role Summary
Support data architecture, infrastructure, and reporting ecosystem. Ensure reliable data pipelines, optimize cloud performance, and deliver high-quality data to business stakeholders and BI tools. Leverage AI-supported automation to enhance data workflows, monitoring, and operational efficiency.
Infrastructure, Pipelines, & AI-Supported Automation
Reporting & Analytics Support
Required Skills
Nice to have: Exposure to ML frameworks, Docker, ClickHouse, MongoDB, Elasticsearch, data quality frameworks
Job ID: 147309691
Skills:
pss e , Data Science, Machine Learning, Python, Matpower, OpenDDS, Statistics, pypower, Cyme, GridCal, GridLAB, PSAT
Skills:
Sql, ELT, Git, Pandas, Docker, Databricks, FastAPI, Azure, Kubernetes, Python, Etl, Polars, Delta Lake, Pydantic
Skills:
Apache Airflow, Bash Scripting, Terraform, Python, Google BigQuery, SQL Engineering
Skills:
Azure Synapse, T-sql, Azure Data Factory, Azure Functions, Azure Databricks, SSIS, Sql, Azure DevOps, Azure SQL Managed Instances
Skills:
snowflake , Servicenow, Jira, Apache Airflow, Jenkins, Lambda, Cloudwatch, Iam, Python, Aws S3, GitHub Actions, MSK Kafka
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