Responsibilities
- Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics.
- Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability.
- Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance.
- Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform.
- Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making.
- Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams.
- Support data operations and sustainment activities, including testing and monitoring processes for global products and projects.
- Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams.
- Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements.
- Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs.
- Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams.
- Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams.
- Support the development and automation of operational policies and procedures, improving efficiency and resilience.
- Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies.
- Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery.
- Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps.
- Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals.
- Utilize technical expertise in cloud and data operations to support service reliability and scalability.
Qualifications
- 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred.
- 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance.
- 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams.
- Experience in a lead or senior support role, with a focus on DataOps execution and delivery.
- Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences.
- Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements.
- Customer-focused mindset, ensuring high-quality service delivery and operational efficiency.
- Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment.
- Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation.
- Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements.
- Understanding of operational excellence in complex, high-availability data environments.
- Ability to collaborate across teams, building strong relationships with business and IT stakeholders.
- Basic understanding of data management concepts, including master data management, data governance, and analytics.
- Knowledge of data acquisition, data catalogs, data standards, and data management tools.
- Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results.
- Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.
Skills Required
Cpg, Data Analytics, Site Reliability Engineering, Ms Azure, Data Management, data acquisition, Data Catalog