| Remote Circle K - Data Engineer GC or USC at Circle, Montana, USA |
| Email: [email protected] |
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Must have Retail Domain with Recent Circle K Data Engineer Rate is $55 an hour C2C 3 month contract with a high probability of an extension 100% remote Only GC or USC MOI : Skype 2 rounds of interviews Urgent need Manager is ready to hire MUST HAVE excellent communication skills C-Store would be ideal Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals. Demonstrate deep technical and domain knowledge of relational and non-relation databases, Data Warehouses, Data lakes among other structured and unstructured storage options. Determine solutions that are best suited to develop a pipeline for a particular data source. Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development. Write custom scripts to extract data from unstructured/semi-structured sources. Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders. Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability). Stay current with and adopt new tools and applications to ensure high quality and efficient solutions. Build cross-platform data strategy to aggregate multiple sources and process development datasets. Essential Qualifications / Requirements: Bachelors degree in Computer Engineering, Computer Science or related discipline, Masters Degree preferred. 7+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment. 3+ years of experience with setting up and operating data pipelines using Python or SQL 7+ years of advanced SQL Programming: PL/SQL, T-SQL 5+ years of Enterprise Data & Analytics solution architecture 3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions. 2+ years of experience in defining and enabling data quality standards for auditing, and monitoring. Strong analytical abilities and a strong intellectual curiosity In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts Deep understanding of REST and good API design. Strong collaboration and teamwork skills & excellent written and verbal communications skills. Self-starter and motivated with ability to work in a fast-paced development environment. Agile experience highly desirable. Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools. Working experience with Python, Spark, Pyspark. Strong Leadership capabilities. Preferred Skills: 2+ years of experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, Avro, parquet, copybook, etc.) Knowledge of Dev-Ops processes (CI/CD) and infrastructure as code. Knowledge of Master Data Management (MDM) and Data Quality tools. Experience developing REST APIs. Kafka Knowledge of key machine learning concepts & MLOPS Technologies we use: Databricks, Azure SQL DW/Synapse, Azure Tabular, Azure Data Factory, Azure Functions, Azure Containers, Docker, DevOps, Python, PySpark, Scripting (Power, Bash), Git, Terraform, Power BI, Snowflake -- Keywords: cprogramm continuous integration continuous deployment business intelligence information technology green card procedural language Remote Circle K - Data Engineer GC or USC [email protected] |
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| 03:26 AM 18-Feb-25 |