Our client is looking for an experienced Data Engineer.
We engineer high-quality, scalable, and resilient solutions on cloud that power data exploration, analytics, reporting and ML 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 infrastructure.
On our team you will build solutions that integrate open-source software with the 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 platform.
This is a hands-on software/data engineering role, where a large part of an engineer’s 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 working directly with application end-users.
Key Qualifications Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Programming experience in building high quality software. Proficiency in at-least one of the following programming languages – Python, Scala, PHP, or Java. Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Hands-on experience in design and development of cloud-based applications (including large scale compute services, database services, APIs, ETL such as Airflow, Nifi, Talend.) Demonstrated knowledge and experience in Software Engineering processes, including test driven development. Passionate about data and its nuances and curious about the underlying business context Strong SQL experience and proficient with SQL/NoSQL Data-warehouses such as Snowflake, Singlestore, Oracle, Mysql, Mongodb Good Data Visualisation experience with the likes of Tableau, Thoughtspot, Looker, PowerBI, etc. Knowledge of Big Data Processing and Systems with Apps such as Hadoop, Spark, Kafka Understanding of ML and OR concepts and models.
Education & Experience Bachelor’s degree in computer science or equivalent experience 4+ years’ experience building enterprise level applications on large-scale distributed systems