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Jobs or company...

Data Engineer

Salary undisclosed
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Original
Simplified

Job Details

Position: Data Engineer

Location: FULLY Remote

Duration: 3-6 months

Start Date: ASAP

Interview Process/Times: The candidate will be interviewed by three individuals on the Data Engineering and BI team.

Notes:

Possibility of extension
Location - remote or hybrid (Charlotte) / EST time zone

3-5 Must Have Skills:

Strong Azure data engineering skills
Experience with PySpark and SQL
Ability to provide direction to offshore team members doing the data pipelining

List top Skills, Experience, Background, Certifications, Education, etc. - Experience at an enterprise level in a large, complex organization

Years of experience - 8+

Description:

Essential Qualifications / Requirements:

Bachelor s degree in Computer Engineering, Computer Science or related discipline, Master s 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 (Powershell, Bash), Git, Terraform, Power BI, Snowflake

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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