We’re Hiring : SAP Data & Analytics Engineer (Big Data)
Location : Remote (India)
Availability : Immediate to 60 Days
We have an opening for an SAP Data & Analytics Engineer (Big Data) to support a major implementation project. The role involves designing and building scalable data solutions that integrate SAP systems with modern Big Data platforms. You will work on data extraction, transformation, and advanced analytics using SAP technologies, cloud services, and programming tools like Python .
📌 Role Overview
As an SAP Data & Analytics Engineer, you will :
- Extract and transform data from SAP BW , ECC , and related modules.
- Develop and optimize ETL / ELT pipelines using tools such as Qlik Replicate , Informatica , or similar.
- Build big data solutions leveraging Databricks , PySpark , Delta Lake , and Azure Data Lake Storage (ADLS) .
- Implement Data Lakes, Data Mesh, and Data Fabric architectures, ensuring Semantic Modeling, Metadata, and Lineage.
- Design reusable APIs and microservices for data engineering projects.
- Stay updated on SAP Datasphere , and big data advancements to drive innovation.
- Integration with Databricks, Snowflake, BigQuery, Synapse for Big Data analytics.
- Implement data provisioning strategies using SLT, SDI, SDQ, and other replication technologies.
✅ Required Skills & Experience
3–8 years in SAP Data engineering and big data integration. (Must)Strong knowledge of SAP BW , ECC , SAP HANA modeling , and SAP Datasphere / DWC .Proficiency in Databricks , PySpark , SQL , Python and CDS .Hands-on experience with Azure Data Lake , Airflow , and ETL / ELT tools .Familiarity with Cloud Data Services (AWS, Azure, GCP), CI / CD, Git, and DevOps practices.Understanding of Data Architecture principles : Data Lakes, Mesh, Fabric .🌟 Preferred Qualifications
Experience with Snowflake , BigQuery , or Synapse.API / microservices design expertise.SAP certifications in HANA or Datasphere .📩 Interested ? Send your CV to : info@mibitsolutions.com
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