Senior Data Engineer

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.Knowledge of key machine learning concepts & MLOPS

Bachelors degree in computer engineering
3+ 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 SQL3+ years of advanced SQL Programming: PL/SQL, T-SQL3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data3+ 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 curiosityIn-depth knowledge of relational database design, data warehousing and dimensional data modeling conceptsDeep 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.