Data Engineer (Backend) InnateMetrics

About InnateMetrics

Job Description

About InnateMetrics Data Engineering Team: The InnateMetrics Data Engineering Team is responsible for building platforms to enable transforming data into reliable and compliant datasets as well as to create and serve metrics. The team owns platforms that span across most of the data lifecycle. It powers thousands of data cubes, marts, and other interactive analytics data tools used to monitor and build. The InnateMetrics Data Engineering Team is working on building next-generation Transformation and Metrics platforms aiming to increase developer productivity and reduce the time to reliable insights. Qualifications: B.Tech/B.E (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding or equivalent technical experience. 6+ years of relevant work experience. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Experience with object-oriented design, coding, testing patterns, and programming languages. Proven coding skills in a high-level language with interest and ability to learn other coding languages as needed. Strong written and verbal communication skills. Role - Data Engineering / Backend: Programming languages: Python, Core Java, SQL, Scala (Good to have) Experience in Data Engineering Experience with DBT (Preferred) Experience on Big Data ecosystem Storage: HDFS (Preferred) or S3 Distributed Data Processing Platform: Spark, Trino (Good to Have) Orchestration: Airflow (Preferred), Azkaban (Good to Have) Build system: Gradle (Preferred) or Maven Version Control: Git,