IT Specialist - Data & Analytics Delivery
New
J
JobgetherData analytics
Based in BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Excellent English proficiency, both written and spoken, is essential.
- Experience
- Several years of professional experience in Data Engineering, Business Intelligence, Data Architecture, or technical and functional leadership roles.
- Required Skills
- PythonSQLAzureSparkDatabricks
Requirements
- Several years of professional experience in Data Engineering, Business Intelligence, Data Architecture, or technical and functional leadership roles.
- Strong experience with enterprise SAP environments, particularly SAP ECC, SAP S/4HANA, SAP Datasphere, SAP Analytics Cloud (SAC), and SAP BTP.
- Hands-on technical knowledge of Databricks, Apache Spark, Python, SQL, and modern cloud-based data platforms.
- Experience delivering data migration, integration, rollout, and transformation projects.
- Strong understanding of enterprise data solutions, architecture, and the relationship between business requirements and technical delivery.
- Experience coordinating multidisciplinary teams, managing stakeholders, and overseeing external technology partners.
- Ability to manage priorities, resources, budgets, and multiple initiatives simultaneously.
- Strong organizational, analytical, and problem-solving skills.
- Strong communication and collaboration skills.
- Excellent English proficiency, both written and spoken.
- Bachelor's degree in Information Technology, Computer Science, Software Engineering, Information Systems, or a related field.
Responsibilities
- Lead the design, development, and delivery of Data & Analytics solutions across Databricks, SAP, Azure, and Microsoft BI technologies.
- Drive data migration, rollout, and transformation initiatives involving SAP ECC, SAP S/4HANA, SAP Datasphere, SAP Analytics Cloud (SAC), and SAP BTP.
- Own selected data products across development, enhancement, maintenance, and long-term performance.
- Manage business demand intake and translate stakeholder needs into priorities and delivery plans.
- Lead resource allocation, financial planning, budgeting, and forecasting.
- Coordinate external partners and service providers, monitoring resources, financial performance, and delivery quality.
- Oversee initiatives from discovery and planning through implementation and go-live.
- Develop prototypes and perform hands-on technical work when required.
- Organize tasks, dependencies, and agile delivery across multiple teams.
- Support the local Data & Analytics team by sharing expertise, fostering collaboration, and potentially taking on people management responsibilities.
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