Job Description

*******This is work from office role******* *******Apply only if you are an early joiner******* *******Candidates with career Gaps and year downs are requested to update their CVs accordingly******* Role & responsibilities Have strong data engineering knowledge and cloud development exposure. Proficiency in python Proficiency in both RDBMS (Mysql preferred) and NoSql datastores Spark, Cassandra, AWS data pipeline stack (Athena, S3, Glue data catalog etc.), Airflow etc are technologies you have used. Very comfortable with data lakes, warehouses, and ETL/ELT paradigms Worked in an agile development environment.• Optional Basic knowledge of statistical analysis, mathematical modelling and machine learning Experience Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant,Kafka, GIT/bitbucket in an agile workplace. Develop high quality code with strong unit/integration tests. Comfort with test-driven development is a plus. Comfortable with exploring proven open-source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few. Proficiency in SQL, Python, Java, Spring boot, Hibernate, REST API development will be a good plus. Preferred candidate profile Last organization preference: Product based , Fintech, NBFC Minimum 3 years of relevant experience in Data Engineering. Candidates from Premium Tier 1 and Tier 2 college will be preferred.