Data Science Tester with strong Databricks (good to have), SQL, and Python skills (must have) to validate data pipelines, ensure data quality, and support end-to-end data validation in a cloud-based analytics environment
Key Responsibilities
1. Data Pipeline Validation (Must Have)
· Validate end-to-end data pipelines, including ingestion, transformation, and output layers.
· Ensure correctness of data movement across systems (source → staging → target).
· Perform validation of batch and streaming pipelines in Databricks environments.
2. Data Quality & Validation Testing (Must Have)
• Design and execute test cases to validate:
• Data completeness
• Data accuracy
• Data consistency across systems
3. SQL-Based Validation (Must Have)
• Write and execute advanced SQL queries for:
• Data validation and reconciliation
• Data profiling and comparison
4. Python-Based Testing (Must Have)
• Develop validation scripts using Python (e.g., Pandas, PySpark).
• Automate data validation checks where feasible.
• Validate transformation logic implemented in PySpark workflows.
5. Databricks Testing & Validation (Good to Have)
• Execute and validate data processing jobs within Databricks.
• Validate notebooks, workflows, and scheduled jobs.
• Perform test execution and result validation in Databricks workspaces.
• Support testing of Spark-based data transformations
6. Data Pipeline & Workflow Testing (Must Have)
• Validate orchestration workflows and dependencies (pipeline triggers, job sequencing).
• Ensure resilience and correctness of pipeline execution.
• Support validation of integration points across data systems.
7. Collaboration & Analysis
• Work closely with data engineers and data scientists to:
• Understand data models and transformations
• Validate analytical outputs
• Participate in requirement analysis and test strategy definition.
• Provide insights on data quality risks and improvements.
Nice to Have (Optional / Advanced)
• Exposure to AI/ML workflows or LLM-based applications (optional)
Responsibilities
Data Science Tester with strong Databricks (good to have), SQL, and Python skills (must have) to validate data pipelines, ensure data quality, and support end-to-end data validation in a cloud-based analytics environment
Key Responsibilities
1. Data Pipeline Validation (Must Have)
· Validate end-to-end data pipelines, including ingestion, transformation, and output layers.
· Ensure correctness of data movement across systems (source → staging → target).
· Perform validation of batch and streaming pipelines in Databricks environments.
2. Data Quality & Validation Testing (Must Have)
• Design and execute test cases to validate:
• Data completeness
• Data accuracy
• Data consistency across systems
3. SQL-Based Validation (Must Have)
• Write and execute advanced SQL queries for:
• Data validation and reconciliation
• Data profiling and comparison
4. Python-Based Testing (Must Have)
• Develop validation scripts using Python (e.g., Pandas, PySpark).
• Automate data validation checks where feasible.
• Validate transformation logic implemented in PySpark workflows.
5. Databricks Testing & Validation (Good to Have)
• Execute and validate data processing jobs within Databricks.
• Validate notebooks, workflows, and scheduled jobs.
• Perform test execution and result validation in Databricks workspaces.
• Support testing of Spark-based data transformations
6. Data Pipeline & Workflow Testing (Must Have)
• Validate orchestration workflows and dependencies (pipeline triggers, job sequencing).
• Ensure resilience and correctness of pipeline execution.
• Support validation of integration points across data systems.
7. Collaboration & Analysis
• Work closely with data engineers and data scientists to:
• Understand data models and transformations
• Validate analytical outputs
• Participate in requirement analysis and test strategy definition.
• Provide insights on data quality risks and improvements.
Nice to Have (Optional / Advanced)
• Exposure to AI/ML workflows or LLM-based applications (optional)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Candidate should have good understanding in Spark, pyspark, ADF, ADB and understanding of broadcast join, ETL.
Candidate should be able to answer the scenario-based questions
Responsibilities
Candidate should have good understanding in Spark, pyspark, ADF, ADB and understanding of broadcast join, ETL.
Candidate should be able to answer the scenario-based questions
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
Exposure tbasic FICmodules GL, AP, AR, CCA, IO
Exposure tTesting the various Finance related business process.
Good understand of the Integration with MM, SD, PS & ISU modules
Primary Skill Required for the Role
SAP FICO
Additional Skills Requested for Role
AP - Accounts Payable -Advanced (6-9 years experience)
SAP - Cash and Banking -Advanced (6-9 years experience)
1. 6+ years of relevant experience and have capabilities of a Senior Consultant level
2. S4HANA implementation experience is a must
3. Should have experience in managing 1 – 2 junior team members, so we can deploy campus along with them
4. Strong grip on AP and Banking to drive conversations with the client
5. Should be able to participate in solutioning
Responsibilities
Description:
Exposure tbasic FICmodules GL, AP, AR, CCA, IO
Exposure tTesting the various Finance related business process.
Good understand of the Integration with MM, SD, PS & ISU modules
Primary Skill Required for the Role
SAP FICO
Additional Skills Requested for Role
AP - Accounts Payable -Advanced (6-9 years experience)
SAP - Cash and Banking -Advanced (6-9 years experience)
1. 6+ years of relevant experience and have capabilities of a Senior Consultant level
2. S4HANA implementation experience is a must
3. Should have experience in managing 1 – 2 junior team members, so we can deploy campus along with them
4. Strong grip on AP and Banking to drive conversations with the client
5. Should be able to participate in solutioning
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance