Data Engineer, BLR, Grp 4.3
ANZ- 1 month ago
- Bengaluru, Karnataka, India
- Full Time
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Job Overview
Functional Area
Data
Work preferred
Work from Office
Experience
Min Experience
6 Years
Max Experience
8 Years
Description
About The Role
- Data pipelines: Engineer efficient, reliable and scalable data pipelines.
- Market / Industry knowledge: Work on diverse data technologies.
- Problem solving: Address and solve complex business issues using large amounts of data
- Solution design: Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap.
- Data modelling: Design data structures for data ingestion, integration and analytics layers on a variety of technologies.
- Customer Focus & Team Player: Working in a cross skilled squad with people both from business and technology to build data assets.
- Continuous improvement and change: Contribute to design patterns for on-premises and cloud.
- Performance optimisation: Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.
- Financial/ Business/ Commercial/ Market Acumen: Lead, Optimise, Design and execute business interventions (customers and operational) to uplift customer engagement and business performance.
- MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering.
- Demonstrable experience (6+ years) and strong background in data processing and software engineering and can build high quality, scalable data products.
- Strong Software Engineering experience with proficiency in at least two high-level programming language (Python, Java, Scala).
- Experience and proficiency in at least two high-volume data processing environments (Teradata, Starburst, PostgresSQL, Oracle, Cloudera, BigQuery or equivalent).
- Experience with container/orchestration tools Kubernetes.
- Experience in agile environments and development workflows using GIT or similar tools, and CI/CD tools.
- Strong ability to translate data insights into practical business recommendation.
- Experience with front & back-end frameworks like Java Springboot & Vue.JS.
- Experience on tools such as: Qliksense, Jupiter Notebook, Codefresh, Mflow/Seldon, Apache Spark etc.
- Health and wellbeing programs
- Discounts on selected products and services (from ANZ and beyond)
- Flexible working arrangements, lifestyle leave and career breaks
Skills
AgileAnalyticsContinuous ImprovementData ProcessingDesigningOracleQualityRecruitmentReportingStatistics