Senior Data Engineer, DaS FinTech
Teknik, data och digitalt · Data, AI och analys · Data engineering
I korthet
Amazon Devices and Services Fintech is hiring a Senior Data Engineer in Bengaluru, India. The role involves designing and building scalable data solutions using technologies like Spark, EMR, Python, Redshift, Glue, and S3, with a focus on FinTech applications. The ideal candidate will have 5+ years of data engineering experience, strong SQL skills, and experience with data modeling and ETL.
Ansvarsområden
- Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3.
- Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
- Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, reusability, and quality across systems.
- Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
- Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
- Define data models and schemas optimized for both operational reporting and statistical/econometric model consumption.
- Build automated data quality frameworks that ensure accuracy and reliability for high-stakes business decisions.
- Engineer self-service data access through metadata-rich catalogs, governed query layers, and dashboard-ready datasets that enable stakeholders to answer recurring questions.
- Build the measurement infrastructure for business experiments (A/B tests, weblabs), ensuring clean experiment data and statistically valid result datasets.
- Drive cost optimization and data governance across the analytics data estate: lineage tracking, metric definitions, access controls, and SLA definitions.
Krav
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
Önskade kvalifikationer
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Advanced degree (Master's) in Computer Science, Computer Engineering, or a quantitative field preferred
- Experience in leading and architecting Data solutions using AWS data services (Redshift, S3, Glue, EMR, Kinesis, Lambda, RDS, Bedrock) and understanding of IAM security frameworks.
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Förmåner
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodations and adjustments available for individuals with disabilities during the application and hiring process.
#data engineering#fintech#big data#etl#data modeling#aws
Företag
Amazon
Publicerade jobb
för 1 vecka sedan
Anställningstyp
Heltid
Arbetsform
På plats
Erfarenhetsnivå
Senior
Platser
Bengaluru, India
Kvalifikation
Kandidatexamen, Masterexamen, Doktorand
Sökande
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