Data Engineer II, Fire TV
Teknik, data och digitalt · Data, AI och analys · Data engineering
I korthet
Seeking a Data Engineer II for Fire TV in Bengaluru, India, to build and maintain scalable data systems supporting millions of customers. The role involves designing, developing, and operating data pipelines, models, and cloud infrastructure using SQL, Python, and AWS services. Requires 3+ years of data engineering experience.
Ansvarsområden
- Own the design, development, testing, deployment, and operation of data pipelines and datasets within an assigned domain
- Build and maintain scalable ETL/ELT workflows using SQL, Python, AWS services, and big data technologies
- Operate and improve data infrastructure, including Redshift clusters, data lake tables, orchestration workflows, monitoring, alerting, and data quality controls
- Improve operational reliability by identifying recurring failures, reducing manual intervention, automating recovery steps, and creating clear runbooks
- Partner with Data Science, Business Intelligence, Product, Finance, Engineering, Privacy, and Legal stakeholders to translate business and compliance requirements into scalable data solutions
- Build and operate conversational, self-service, and agentic analytics data products
- Support compliance, privacy, retention, and governance initiatives, including GDPR, DMA, telemetry migration, data access controls, and retention workflows
- Contribute to data foundations that support forecasting, experimentation, ML/AI use cases, self-service analytics, and certified business metrics
- Implement data validation, lineage, documentation, and operational mechanisms that improve trust and reduce single points of failure
- Drive scoped modernization efforts such as pipeline simplification, migration support, Redshift/data lake improvements, automation, and self-service data enablement
- Clarify ambiguous requirements, identify data quality or source-of-truth gaps, and escalate broader trade-offs to senior engineers or managers when appropriate
- Mentor junior engineers on scoped technical tasks, coding standards, operational practices, and data quality expectations
- Participate in on-call and product support for business-critical pipelines and datasets
- Own the design and operation of the data foundations that power GenAI, RAG, and agentic analytics within an assigned domain
- Build guardrails, validation, and evaluation mechanisms, both automated and human-in-the-loop, that keep AI-generated outputs such as SQL and metrics accurate and reliable
- Apply AI coding assistants and agentic development tools to your daily work and share effective patterns with the team to raise overall engineering velocity.
Krav
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with database, data warehouse or data lake solutions
- Experience with one or more scripting language (e.g., Python, KornShell, Scala)
Önskade kvalifikationer
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience implementing scalable compliance solutions (technology, procedures, processes, etc.) in a regulated environment
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience leveraging AI to build customer facing solutions and/or improving internal productivity
- Experience handling AI/ML infrastructure
#data engineer#fire tv#advertising#analytics#etl#data pipelines#aws#redshift#data lake#python#sql#big data#ai#ml
Företag
Amazon
Publicerade jobb
för 3 veckor sedan
Anställningstyp
Heltid
Arbetsform
På plats
Erfarenhetsnivå
Mellannivå
Platser
Bengaluru, India
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