Senior Engineer - Product and Platform Engineering
Date: 20 Sept 2025
Location: Chennai, TN, IN, 600113
Company: Altimetrik
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. <p><strong>Senior Pentaho Developer:</strong></p> <p>Strong knowledge of </p> <ul type="disc"> <li>databases(Oracle, Vertica) with good SQL and PL/SQL Querying skills</li> <li>ETL (data warehouse techniques)</li> <li>data integration (Pentaho Data Integration (PDI) client or kettle or spoon)</li> <li>source control tools such as GitLab</li> <li>basic java script and java classes</li> <li>basic Linux and windows commands</li> </ul> <p> </p> <p> </p> <p>Specific Pentaho ETL skills:</p> <p> </p> <ul type="disc"> <li>aware of pdi enterprise edition features, connecting to various input db sources, api or rest calls, salesforce input, json input, aws input </li> <li>experience in writing to various o/p db targets, files, salesforce output (insert,update,delete) </li> <li>joins, group by, lookup techniques, delta data - scd implementations (with normalizer and denormalizer techniques)</li> <li>metadata injection technique in pdi </li> <li>error handling techniques in pdi </li> <li>data cleansing techniques in pdi </li> <li>logging techniques in pdi</li> <li>bulk data management , job check points and restartability in pdi</li> <li>master-slave architecture and repository management</li> </ul>
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Long Description
Senior Pentaho Developer:
Strong knowledge of
- databases(Oracle, Vertica) with good SQL and PL/SQL Querying skills
- ETL (data warehouse techniques)
- data integration (Pentaho Data Integration (PDI) client or kettle or spoon)
- source control tools such as GitLab
- basic java script and java classes
- basic Linux and windows commands
Specific Pentaho ETL skills:
- aware of pdi enterprise edition features, connecting to various input db sources, api or rest calls, salesforce input, json input, aws input
- experience in writing to various o/p db targets, files, salesforce output (insert,update,delete)
- joins, group by, lookup techniques, delta data - scd implementations (with normalizer and denormalizer techniques)
- metadata injection technique in pdi
- error handling techniques in pdi
- data cleansing techniques in pdi
- logging techniques in pdi
- bulk data management , job check points and restartability in pdi
- master-slave architecture and repository management