Birlasoft

3 weeks ago

Data Engineer (Migration Consultant)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Own end-to-end enterprise data migration pipelines into a target ERP system, covering source extraction, transformation, cleansing, validation, and final loading. Build and run data extraction and transformation workflows, including profiling, source-to-target mapping workbooks, deduplication with survivorship, enrichment, and exception handling. Reconcile post-load results through source-to-target variance analysis and correction logging, while maintaining complete documentation and reusable migration assets.

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Sr. Manager level

Key Responsibilities

•Design and build data extraction pipelines from source ERP systems, including cloud-based staging ingestion and post-extraction completeness/structure validation.
•Execute data profiling and analysis; create source-to-target mapping workbooks and data dictionaries for business review and sign-off.
•Apply cleansing, standardization, and validation rules for master and transactional objects, managing exception handling and remediation workflows.
•Build transformation pipelines to convert cleansed data into target import formats (IDOCs, BAPIs, flat files, or API payloads) and manage sequencing/load dependencies.
•Run post-load reconciliation (source-to-target variance analysis, fallout reporting, and correction logging) and maintain end-to-end documentation and audit trails.

Key Requirements

•6–8 years in data engineering or data migration, including 3+ years on enterprise ERP migration projects.
•Strong knowledge of ERP data structures for master data (Item, Vendor, Customer, BOM) and transactional data (PO, SO, Invoices, Inventory).
•Hands-on experience with ERP loading mechanisms such as IDOCs, BAPIs, LSMW, batch loaders, APIs, or equivalent import methods.
•Proficiency in SQL and Python/PySpark for transformation, pipeline development, and automation.
•Experience with cloud data services (AWS S3/Glue/Redshift, Azure Data Factory/Synapse, or Databricks) and data quality disciplines (profiling, cleansing, standardization, deduplication, enrichment, reconciliation).

Experience:6-8 yearsEnterprise ERP migrationData migration

Education:Bachelor's in Computer Science, Information Systems, Data Engineering, or related field

Skills:DocumentationCommunication

Certifications:AWS DataAzure Data EngineerDatabricks

Tech Stack:SQLPythonPySparkAWS S3AWS GlueAWS RedshiftAzure Data FactoryAzure SynapseDatabricksIDOCsBAPIsLSMWGitAPI payloads

Company Brief

Birlasoft

Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Noida, India

Website LinkedIn

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Birlasoft

3 weeks ago

Data Engineer (Migration Consultant)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Sr. Manager level

Key Responsibilities

•Design and build data extraction pipelines from source ERP systems, including cloud-based staging ingestion and post-extraction completeness/structure validation.
•Execute data profiling and analysis; create source-to-target mapping workbooks and data dictionaries for business review and sign-off.
•Apply cleansing, standardization, and validation rules for master and transactional objects, managing exception handling and remediation workflows.
•Build transformation pipelines to convert cleansed data into target import formats (IDOCs, BAPIs, flat files, or API payloads) and manage sequencing/load dependencies.
•Run post-load reconciliation (source-to-target variance analysis, fallout reporting, and correction logging) and maintain end-to-end documentation and audit trails.

Key Requirements

•6–8 years in data engineering or data migration, including 3+ years on enterprise ERP migration projects.
•Strong knowledge of ERP data structures for master data (Item, Vendor, Customer, BOM) and transactional data (PO, SO, Invoices, Inventory).
•Hands-on experience with ERP loading mechanisms such as IDOCs, BAPIs, LSMW, batch loaders, APIs, or equivalent import methods.
•Proficiency in SQL and Python/PySpark for transformation, pipeline development, and automation.
•Experience with cloud data services (AWS S3/Glue/Redshift, Azure Data Factory/Synapse, or Databricks) and data quality disciplines (profiling, cleansing, standardization, deduplication, enrichment, reconciliation).

Experience:6-8 yearsEnterprise ERP migrationData migration

Education:Bachelor's in Computer Science, Information Systems, Data Engineering, or related field

Skills:DocumentationCommunication

Certifications:AWS DataAzure Data EngineerDatabricks

Tech Stack:SQLPythonPySparkAWS S3AWS GlueAWS RedshiftAzure Data FactoryAzure SynapseDatabricksIDOCsBAPIsLSMWGitAPI payloads

Company Brief

Birlasoft

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Noida, India

Website LinkedIn