5 дней назад
Senior Data Engineer (AWS)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AWS): Building scalable batch, real-time, and event-driven data pipelines for lending products across acquisition, storage, processing, and consumption with an accent on AWS, streaming architectures, and data reliability. Focus on designing data lifecycle frameworks, optimizing high-availability platforms, and translating real-time data into actionable business metrics.
Location: Full-time onsite work in the Jakarta office, Indonesia
Company
A Southeast Asian superapp delivering mobility, food, financial, and digital services while using technology and AI to support economic empowerment.
What you will do
- Build and maintain scalable batch, real-time, and event-driven ETL pipelines using AWS Glue, Redshift, Athena, Lambda, S3, EMR, Kinesis, and MSK.
- Design and deploy data lifecycle frameworks for streaming, API-based, serverless, and batch consumption on the data lake.
- Implement data checks, automated cleansing routines, and governance practices to improve data reliability.
- Monitor, maintain, and optimize data platform infrastructure for high availability, low latency, and accurate metric delivery.
- Use internal data platform tools and native AWS technologies to streamline pipeline execution and real-time metric tracking.
- Collaborate with data, product, software engineering, and business stakeholders to define actionable business metrics.
Requirements
- 6+ years of experience building scalable, fault-tolerant, mission-critical data pipelines.
- Proficiency in Python, Scala, or Java, with strong SQL, schema design, and data modeling skills.
- Expertise in Flink, Spark, Trino, Airflow, Kafka, SQL, NoSQL, and columnar databases.
- Hands-on experience with AWS services including S3, EMR, Redshift, Athena, Glue, Kinesis, SNS, SQS, and Lambda.
- Knowledge of data structures, algorithms, or machine learning concepts.
- Degree in Computer Science, IT, Engineering, or a related technical field.
Culture & Benefits
- Term life insurance and comprehensive medical insurance.
- Flexible benefits through Flex.
- Parental, birthday, and volunteering leave.
- Confidential assistance support for employees and their families.
- FlexWork arrangements with differentiated working hours.
- Inclusive and equitable workplace with opportunities to work across Southeast Asia.
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