Data Engineer

Candidates should have extensive experience using Informatica IDMC, Snowflake, and Microsoft technologies (SQL Server, Synapse, Azure Data Factory, Azure Databricks).

We are looking for hands-on data management and development of data pipelines, NOT oversight and support.

Experience designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.

Experience building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.

Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems.

8+ years of overall experience in data engineering - data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics (prescriptive, predictive), business intelligence, data science, and governance.

Proficiency in programming languages such as C#, Python, SQL, and Java.

Experience with Microsoft technologies (SQL Server (IaaS, PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CDGC, Master Data Management, Data Quality), Snowflake, and other relevant industry leaders.

Certifications in relevant technologies listed above is preferred.

Previous experience in the professional services or accounting industry is a plus.

Previous client service or consultative experience is a plus.

Previous experience working in a managed services provider environment is a plus.