DATA ENGINEERING & ANALYTICS SPECIALIST -Pune
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Skills you'll use
What you'll do
- Engage with engineering and operations stakeholders to gather requirements and define effective data-driven solutions.
- Build, optimise, and maintain scalable cloud-native data pipelines and platforms.
- Develop and manage dashboards and reporting solutions using enterprise visualisation tools.
- Implement automation and advanced analytics using Python, APIs, and AI/ML frameworks.
- Manage cloud infrastructure, CI/CD pipelines, and production environments to ensure reliability and stability.
- Collaborate with cross-functional teams and global stakeholders to deliver high-quality data products.
- Drive innovation by identifying opportunities to enhance operational efficiency using data and analytics.
- Ensure compliance with security, governance, and operational standards.
- Support planning, budgeting, and timely delivery of solutions aligned to business needs.
- Escalate and resolve critical issues in collaboration with support and operations teams.
Who can apply
- Experienced in cloud data engineering with hands-on knowledge of GCP, BigQuery, and data pipeline tools.
- Proficient in SQL (advanced), Python, and scripting for data processing and automation.
- Skilled in building visualisation dashboards using tools such as Tableau, Power BI, Grafana, or similar platforms.
- Familiar with ETL processes, data warehousing concepts, and database management systems.
- Knowledgeable in DevOps practices, CI/CD pipelines, Kubernetes, and cloud infrastructure management.
- Capable of applying data analysis techniques to derive actionable insights and support decision-making.
- Comfortable working in agile environments with global stakeholders and cross-functional teams.
- Familiar with machine learning concepts and data-driven automation approaches.
- Strong in communication, stakeholder engagement, and problem-solving within complex environments.
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