Data Engineer
Appiness Inc. · US ·
- Category
- Data engineering
awsaws-glueazureazure-data-factoryclouddata-engineeringdata-pipelinesdatabricksdelta-lakeeltetlpysparkpythonsnowflakesparksql
A senior/lead data engineer who designs, builds, and maintains scalable ETL/ELT pipelines for large structured and unstructured datasets. Core stack: Python, PySpark/Apache Spark, and SQL, working with Databricks, Azure Data Factory, AWS Glue, Snowflake, and Delta Lake across both Azure and AWS clouds.
Job Title: Senior Data Engineer / Lead Data Engineer EXP – 12 Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines for large-volume structured and unstructured data. Develop data processing solutions using Python, PySpark, Apache Spark, and SQL . Build and optimize data pipelines using Databricks, Azure Data Factory, AWS Glue, and Snowflake . Work with both Azure and AWS cloud platforms to implement modern data engineering solutions. Work with Delta Lake, Azure Dat…