SAP Data Engineer – Freelancer

This is a fully remote position, open to applicants in India.

📋 Description

• Develop extraction pipelines from SAP HANA to AWS S3 utilizing SLT, ODP, CDS views, SDI, and native HANA SQLScript, selecting the appropriate tool based on the source and latency requirements.

• Transform raw SAP tables within FI/CO, MM, SD, and related modules into organized, semantically relevant datasets that can be effectively used by the downstream Spark layer and business users.

• Create and manage delta and CDC patterns to ensure that incremental loads are accurate, idempotent, and replayable.

• Construct ABAP extractors when standard SAP tools are inadequate, and document these extractors to ensure that future engineers can modify them safely.

• Take charge of the write-back process: load curated data from S3 into SAP BW / BW4HANA and structure it for end-user reporting and analytical querying.

• Store data in S3 as Parquet with appropriate partitioning, schemas, and IAM scoping, and establish the contract with the PySpark engineer at the ingestion-to-transformation interface.

• Collaborate with a customer team, deploy the pipeline to production, and maintain close oversight during the cutover to ensure its successful operation.

⛳️ Requirements

• Extensive experience in SAP HANA extraction: actual production involvement with SLT, ODP / operational data provisioning, CDS views, SDI, and HANA SQLScript.

• Strong understanding of SAP table structures and the business semantics associated with at least one functional area (FI/CO, MM, SD, or similar), enabling the conversion of raw tables into models recognizable by business analysts.

• Solid instincts in delta and CDC: capable of designing incremental loads that endure reprocessing, late-arriving data, and changes in source-side schema.

• Proficient in ABAP to create custom extractors when standard tools are insufficient to access the required data.

• Experience with SAP BW / BW4HANA data loading and modeling for the consumption aspect of the pipeline.

• Familiarity with AWS: understanding of S3 landing zones, Parquet, basic IAM, sufficient to engage confidently on an AWS-hosted pipeline without needing to manage the platform directly.

• Excellent written and verbal communication skills in English, as you'll be participating in customer calls and collaborating across different regions.

• Preferred: Experience with AWS Glue Data Catalog or similar metadata layers over S3.

• Previous experience in deploying SAP-to-cloud data lake patterns, along with insights on challenges faced and alternative approaches.

• Experience in client-facing consulting or forward-deployed delivery, not limited to internal IT roles.

🏝️ Benefits

• We prioritize fostering a culture that makes a significant impact on the lives of every Mactorian.

• At Mactores, we are dedicated to offering equal opportunities in all aspects of our employment practices.