SAP Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Greenlight Planet

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2009

⚡ Energy

🌍 Social Impact

👥 B2C

Energy • Social Impact • B2C

Greenlight Planet is a company that has transitioned to the brand Sun King. It specializes in designing, distributing, installing, and financing solar energy solutions, specifically for the 1. 8 billion people without reliable electricity access. The company provides a range of solar products, such as lanterns, home systems, and AC electricity systems, to meet diverse power needs across Africa and Asia. Sun King's solutions facilitate off-grid power access, offering reliable and sustainable energy alternatives to traditional power sources. The company operates on a global scale, including in regions such as East Africa, South Asia, and Oceania, and also provides pay-as-you-go financing options to make solar energy more accessible and affordable.

📋 Description

• Design and implement modern ETL/ELT architectures integrating SAP source systems (ECC, S/4HANA, BW/4HANA) with cloud-based data platforms. • Develop and maintain robust data pipelines to extract, transform, and load SAP data into enterprise data warehouses and data lakes for BI and reporting needs. • Build and manage integrations using SAP Data Services, SAP BW Extractors, ODP, and RFC/BAPI connections. • Partner with SAP functional consultants and business stakeholders to understand data structures, business logic, and transformation requirements. • Build data flows into SAP and SAP Analytics Cloud to enhance data available to the FP&A team. • Administer and optimize SAP-connected databases and data stores for performance, availability, and data integrity. • Partner with the BI team to optimize reporting through SAP data preprocessing, schema design, and dimensional data modeling. • Monitor and optimize data storage, processing, and pipeline costs across SAP and cloud environments. • Design and implement real-time and near-real-time data pipeline architectures, including SAP SLT, SAP CDS Views, and event-driven pipelines. • Develop alerting and data quality frameworks to detect, escalate, and resolve SAP data discrepancies. • Document data flows, SAP integration patterns, and pipeline architectures.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related quantitative field; relevant professional experience may be considered in lieu of formal education. • 2–4 years of experience in a Data Engineering role, with at least 2 years of hands-on SAP integration experience. • Strong proficiency in SAP data extraction techniques: BW Extractors, ODP, CDS Views, RFCs, BAPIs, and IDocs. • Hands-on experience with SAP Data Services (BODS), SAP BW/4HANA, SAP S/4HANA data models, and SAP Landscape Transformation (SLT). • Solid command of Python and SQL for data transformation; experience with Spark and cloud-based compute (AWS EC2, Glue, or equivalent) is a strong plus. • Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift or similar cloud data warehouses. • Familiarity with SAP ABAP for reading and interpreting custom extraction programs and table structures; development experience is a plus, not a requirement. • Detail-oriented with a keen interest in understanding how SAP business processes translate to data transformations and their downstream impact on business outcomes. • Excellent analytical, problem-solving, and time management skills with the ability to manage competing priorities in a fast-paced environment. • Adaptable and collaborative team player who thrives in dynamic, cross-functional environments. • Prior experience in project or team lead capacity is preferred; enthusiasm for knowledge-sharing and mentoring junior engineers is a strong plus. • Experience with SAP Integration Suite (formerly SAP Cloud Platform Integration/CPI) or SAP Data Intelligence. • Exposure to SAP RISE or SAP BTP data services. • Certification in SAP Data Engineering, Finance, SAP BW, or related SAP modules. • Prior experience in energy, utilities, or emerging-market technology sectors. • Experience with AWS, Redshift, orchestrating Airflow DAGs

🏖️ Benefits

• Professional growth in a dynamic, rapidly expanding, high-social-impact industry • An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet. • A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds. • Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.