Databricks Data Engineer – Finance / SAP

Databricks Data Engineer – Finance / SAP

• *Job Location:** Anywhere in India (Remote)
• *Job Type:** Full\-Time / Permanent
• *Salary:** ₹30,00,000 – ₹35,00,000 per annum (LPA)
• *Work Mode:** 100% Remote

Job Description

We are looking for an experienced **Databricks Data Engineer – Finance / SAP** with strong hands\-on experience in **Azure Databricks, PySpark, SQL, and ETL/ELT development**, along with a good understanding of finance and controlling processes.

The ideal candidate will work closely with Data Engineering and Finance teams to design, develop, optimize, and maintain scalable data pipelines and integration solutions. The role involves handling finance\-related data, building reliable data processing solutions, and integrating data from SAP systems into the Databricks platform.

• *Important:** We are primarily looking for a strong Data Engineer with Finance domain exposure. Deep SAP FICO functional expertise is preferred but not mandatory.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks, PySpark, and SQL.
• Build and optimize ETL/ELT processes for data integration, transformation, and reporting.
• Develop data engineering solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Delta Lake.
• Work with financial datasets related to General Ledger (GL), cost centers, profit centers, financial reporting, and controlling.
• Support integration of data from SAP ECC, SAP S/4HANA, or SAP BW/HANA into Databricks.
• Ensure data quality, accuracy, consistency, reconciliation, and reliability across data pipelines.
• Troubleshoot pipeline failures, data processing errors, and performance bottlenecks.
• Optimize SQL queries, PySpark transformations, and Databricks workloads for efficient processing.
• Collaborate with Finance, SAP, and Data Engineering teams to understand business requirements and deliver effective solutions.
• Support data platform enhancements, reporting requirements, and ongoing production operations.

Required Skills and Qualifications

• Strong hands\-on experience with **Azure Databricks, PySpark, and SQL**.
• Proven experience developing and maintaining ETL/ELT data pipelines.
• Practical experience with Azure Data Factory (ADF), ADLS, and Delta Lake.
• Good understanding of data integration, transformation, and processing.
• Experience working with finance\-related datasets, financial reporting, or controlling processes.
• Understanding of General Ledger, cost centers, profit centers, or similar finance data concepts.
• Strong SQL development, debugging, and performance optimization skills.
• Experience troubleshooting complex data pipeline and integration issues.
• Strong analytical, problem\-solving, and communication skills.

Preferred Skills

• Knowledge of SAP Finance and Controlling (SAP FICO) processes.
• Experience integrating SAP ECC, S/4HANA, or SAP BW/HANA data with Databricks.
• Experience with SAP\-to\-Databricks data migration or integration projects.
• Exposure to GCP Databricks environments.
• Familiarity with Unity Catalog, CI/CD pipelines, and data governance frameworks.
• Experience working on enterprise finance data platforms.

Important Candidate Eligibility Criteria

• Candidates must have strong, hands\-on **Databricks Data Engineering** experience.
• Practical knowledge of PySpark, SQL, ETL/ELT, and Azure data services is required.
• Candidates should have experience working with Finance domain data or financial reporting processes.
• SAP FICO functional expertise is an added advantage, but it is not mandatory.
• Candidates with excellent SAP functional knowledge but without strong Databricks Data Engineering experience will not be suitable for this position.

Compensation and Employment Details

• **Annual CTC:** ₹30–35 LPA
• **Employment Type:** Full\-Time / Permanent
• **Work Location:** Remote – Anywhere in India

How to Apply

Interested candidates with relevant Databricks Data Engineering experience are encouraged to apply with their updated resumes.

Please include the following information when applying

• Total IT experience
• Relevant Databricks experience
• Experience with PySpark, SQL, and Azure Data Factory
• Finance domain and/or SAP integration experience
• Current CTC and expected CTC
• Notice period
• Current location

• *Note:** Strong Databricks Data Engineering skills and Finance domain exposure are the primary requirements. SAP FICO expertise is preferred, not mandatory.

Pay: ₹3,000,000\.00 \- ₹3,500,000\.00 per year

Work Location: Remote