Software development experience with Python, PySpark and Apache Spark Proficiency in SQL, relational and non-relational databases, query optimization and data modelling
Strong knowledge of Data Integration (e.g. Streaming, Batch, Error and Replay) and data analysis techniques
Experience with GitHub, Jenkins, and Terraform
Experience with Teradata (Vantage) or any RDBMS system/ ETL Tools
Good experience on designing and developing data pipelines for data ingestion and transformation using Spark
Excellent in trouble shooting the performance and data skew issues
Working knowledge on the implementation of data lake ETL using AWS glue, Databricks etc.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Python with Data Engineer?
Sign up to receive alerts about other jobs on the Python with Data Engineer career path by checking the boxes next to the positions that interest you.
