Senior Data Engineer

Early Applicant

Exp: 3-5 Years

Job Description

Design, develop, and maintain data pipelines and ETL processes to process and transform large volumes of data efficiently.
Optimize SQL queries for performance tuning and work with various databases including Oracle PLSQL and SQL Server.
Implement and support Data Warehouse solutions and work with Microsoft Azure services like Data Factory, Azure SQL, and DevOps.
Develop ETL pipelines and have exposure to Data Modeling concepts.
Utilize Big Data technologies such as Hadoop, Pyspark, Spark SQL, and Nifi for data processing and analysis.
Create visualizations using tools like Power BI and Tableau to present data insights to stakeholders.
Work with virtualization tools like Denodo to provide a unified view of data sources.
Experience with Datastage and Informatica for data integration and transformation.

Requirements

3+ years of experience in data engineering with a strong background in SQL, ETL development, and data modeling.
Proficiency in SQL (Oracle PLSQL, SQL Server) and experience with SQL tuning.
Hands-on experience with Microsoft Azure services like Data Factory, Azure SQL, and DevOps.
Knowledge of Big Data technologies including Hadoop, Pyspark, Spark SQL, and Nifi.
Familiarity with visualization tools such as Power BI and Tableau.
Experience with virtualization tools, particularly Denodo.
Previous experience with Azure, Databricks

Benefits