Location
Bangalore | India
Job description
We are seeking a self-motivated, solution-oriented, and experienced (Senior) Data Analytics Engineer to join our Affinidi Elements team.
- Develop, implement, and maintain best-in-class data/analytics pipelines and system as part of the core Affinidi Elements product offering
- and help ship the next generation of Affinidi Elements products that lets developers and consumers access data, services, and data models seamlessly and securely
- Elevate engineering standards through your expertise and commitment to best practices.
- Develop code with a focus on delivering accurate, efficient, secure, well-tested, and reliable data processing and transformation at scale
- Monitor and enhance reliability and operational metrics, recommending improvements to tests or monitoring tools.
- Collaborate with Product Managers and other peers to maintain a high bar for quality in a fast-paced, iterative environment
- Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale systems environment. Maintain and advocate for these standards through code review.
- Lead by example, driving the implementation of complex technical solutions through the preparation of proof-of-concepts (POCs) or contributions to the codebase.
- Work collaboratively with cross-functional teams and peers on bigger topics.
Youre an ideal candidate if you:
- Enjoy thriving in a fast-paced startup environment, valuing the freedom to be autonomous and experimental. Being part of a truly global team and having the opportunity to work across the entire technology stack is something you appreciate.
- Have practical experience in implementing Data Infrastructures.
- Possess a solid understanding of different data architectures
- Have a keen interest in advancing technology, specifically in finding innovative ways to enhance data ownership, with a focus on decentralized technology.
- Are a passionate engineer with minimum 5 years of extensive proficiency in data mining, OLAP, ETL, data modelling, complex SQL queries, performance tuning, Python, Typescript, Streaming technologies like Kafka / Kinesis, ETL technologies like Spark / Flink / Ray / Polars and AWS services like Glue, Athena, DynamoDB, Lambda, Redshift.
- Demonstrate expertise in cloud computing, with a preference for AWS serverless environments.
- Grasp design patterns and have hands-on experience in designing and deploying ETL jobs, and streaming processing in the cloud, backed by proven track record.
- Are hands-on with Python / Typescript and adept at effectively monitoring and testing the data quality and accuracy of the analysis.
Job tags
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