AWS Data Pipeline Engineer
Kyndryl
Amazon RedshiftAWSETLJavaPySparkPythonRDBMSSQLTerraform
Senior Azure/Fabric Data Engineer
Parks Associates
full-time
Posted on:
Location Type: Hybrid
Location: Hyderabad • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
ApacheAzureETLPySparkPythonSparkSQL
About the role
- We are looking for a highly skilled Databricks & Azure Senior Data Engineer with at least 6 to 10 years of experience.
- The ideal candidate should have a strong background in Azure data services, including Databricks, Synapse Analytics, Microsoft Fabric, PySpark and SQL.
- He/She will be responsible for designing, building, and maintaining scalable data solutions that meet business requirements and align with industry best practices.
Requirements
- 6+ years of experience as a Databricks & Data Engineer, building Azure-based data solutions using Data Factory, Synapse, Databricks.
- Expertise in Python, SQL (SparkSQL, TSQL, PLSQL), Dimensional Data Modeling, Data Warehousing, and ETL/ELT processes.
- Develop and optimize large-scale data pipelines using Databricks, Synapse, and Apache Spark.
- Integrate data into Azure Data Lake Storage via Data Factory and Data Flows.
- Architect Delta Lake & Lakehouse solutions for scalable analytics.
- Optimize performance across Databricks, and Synapse environments.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
DatabricksAzurePySparkSQLPythonDimensional Data ModelingData WarehousingETLELTApache Spark
