Sales - Software Engineer (Data), PART
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We engineer high-quality scalable and resilient distributed systems on cloud that power data exploration analytics reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise role will build solutions that integrate open source software with Apples internal ecosystem. You will drive development of new components and features from concept to release: design build test and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows and propose new features and ecosystem changes to streamline their experience of using the solutions on our is a challenging software engineering role where a large part of an engineers time is spent in writing code and designing/developing applications on cloud with the remainder being spent on tuning and debugging codebase supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.
- 4 or more years of experience building enterprise-level data applications on distributed systems
- Knowledge of BI concepts and Implementation experience on Cloud with databases like SnowFlake or Big Query
- Programming experience with Python Scala or Java.
- Experience in developing highly optimized SQLs procedures & semantic process for distributed data applications
- Bachelors degree in Computer Science or equivalent experience
- Hands-on experience in designing and development of cloud-based applications that include compute services database services APIs to design RESTful services ETL queues and notification services.
- Experience in cloud data warehousing platforms like Snowflake is highly valued
- Hands-on knowledge of Spark cluster-computing framework & Kubernetes or similar containerization technologies.
- Experience developing Big Data applications using Java Spark Kafka is a huge plus
- Understanding of fundamentals of object-oriented design data structures algorithm design and problem solving
- Cloud technology experience on platforms like AWS Microsoft Azure Google Cloud
- Data Visualization Tools: experience in software such as Streamlit Superset Tableau Business Objects and Looker
- Data Insights and KPIs: Working experience on generating and visualizing data insights metrics and KPIs. Usage of basic ML models in the space of anomaly detection forecasting GenAI.
Key Skills
- Anti Money Laundering
- Employee Relations
- Actuarial
- Attorney At Law
- Big Data
- Filing
About Company
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