Job
Description
Experience 8+ years Data Engineering experience. 3+ years experience of cloud platform services (preferably GCP) 2+ years hands-on experience on Pentaho. Hands-on experience in building and optimizing data pipelines and data sets. Hands-on experience with data extraction and transformation tasks while taking care of data security, error handling and pipeline performance. Hands-on experience with relational SQL (Oracle, SQL Server or MySQL) and NoSQL databases . Advance SQL experience - creating, debugging Stored Procedures, Functions, Triggers and Object Types in PL/SQL Statements. Hands-on experience with programming languages - Java (mandatory), Go, Python. Hands-on experience in unit testing data pipelines. Experience in using Pentaho Data Integration (Kettle/Spoon) and debugging issues. Experience supporting and working with cross-functional teams in a dynamic environment. Technical Skills Programming & Languages: JAVA Database Tech: Oracle, Spanner, BigQuery, Cloud Storage Operating Systems: Linux Good knowledge and understanding of cloud based ETL framework and tools. Good understanding and working knowledge of batch and streaming data processing. Good understanding of the Data Warehousing architecture. Knowledge of open table and file formats (e.g. delta, hudi, iceberg, avro, parquet, json, csv) Strong analytic skills related to working with unstructured datasets. Excellent numerical and analytical skills. Responsibilities Design and develop various standard/reusable to ETL Jobs and pipelines. Work with the team in extracting the data from different data sources like Oracle, cloud storage and flat files. Work with database objects including tables, views, indexes, schemas, stored procedures, functions, and triggers. Work with team to troubleshoot and resolve issues in job logic as well as performance. Write ETL validations based on design specifications for unit testing Work with the BAs and the DBAs for requirements gathering, analysis, testing, metrics and project coordination. Show more Show less
