Top Tech Jobs & Startup Jobs

The Senior DevOps Engineer will design and maintain integration solutions in a multi-cloud environment, focusing on automation and system performance, while collaborating with developers and architects.

Design, build and maintain end-to-end data solutions including ETL, data processing, automation and scalable pipelines. Work with data scientists and cross-functional teams to acquire, clean, integrate and analyze structured and unstructured data. Diagnose issues, develop solutions, and communicate findings to clients and stakeholders.

Lead data engineering efforts: design architecture, build and deploy ETL/ELT pipelines, manage Azure-based data platforms, collaborate with data scientists, coach team members, and engage stakeholders to deliver data products and analytics.

Translate business problems into analytical solutions across the ML lifecycle: data wrangling, model development, deployment and monitoring. Build and productionize models (churn, CLV, segmentation, personalization) using MLOps tools and cloud platforms, apply statistical testing, create visual narratives for stakeholders, and collaborate with cross-functional teams in an agile environment.

Serve as strategic right hand to senior leaders on a major client partnership: establish and run a PMO, translate strategy into execution roadmaps, prepare executive materials, manage stakeholders, run leadership forums, and drive continuous improvement and confidentiality in partnership delivery.

Lead analysis, migration and modernization of SAP BW/HANA and ABAP data flows. Design scalable cloud-ready data processing, define migration strategies, validate source-to-target mappings, support AI-assisted migration, manage integration technologies, lead technical reviews, testing, cutover and post-go-live support, and drive data governance and metadata management.

Lead development and implementation of data governance frameworks across SHV group; consult subsidiaries, run maturity assessments and gap analyses, define policies and standards, oversee data quality audits, ensure data privacy/regulatory compliance, facilitate governance councils, and deliver training and stakeholder engagement.

Lead SAP BW/ABAP migration and modernization efforts: analyze and re-engineer BW objects and ABAP programs, design cloud-ready data processing, define migration strategies, validate data, support AI-assisted migration, and provide technical leadership and post-go-live support.

Lead SAP-to-modern-data-platform migration architecture, define migration strategy and waves, assess SAP landscapes (BW, HANA, ABAP), guide technical teams, integrate AI-assisted migration tooling, ensure data quality, lineage, governance, and reconciliations, and coordinate stakeholders across Data Engineering, BI, AI, and business teams to deliver scalable, auditable migrations.

Lead migration and modernization of SAP BW/HANA/ABAP to cloud platforms. Analyze BW objects and ABAP code, design scalable data processing and delta-load strategies, integrate via IDocs/RFCs/BAPIs/CDS/OData/APIs, validate migrations, support testing/cutover, troubleshoot performance and data quality, and collaborate with SAP, data engineering, BI, AI, and cloud teams.