Data Engineer(Java, databricks, Spark)

As a Data Engineer at our organization, you will have the opportunity to work on building smart, automated testing solutions. We are seeking individuals who are passionate about data engineering and eager to contribute to our growing team. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, IT, or equivalent field, with a minimum of 4 to 8 years of experience in building and deploying complex data pipelines and data solutions. For junior profiles, a similar educational background is preferred. Your responsibilities will include deploying data pipelines using technologies like Databricks, as well as demonstrating hands-on experience with Java and Databricks. Additionally, experience with visualization software such as Splunk (or alternatives like Grafana, Prometheus, PowerBI, Tableau) is desired. Proficiency in SQL and Java, along with hands-on experience in data modeling, is essential for this role. Familiarity with Pyspark or Spark for managing distributed data is also expected. Knowledge of Splunk (SPL), data schemas (e.g., JSON/XML/Avro), and deploying services as containers (e.g., Docker, Kubernetes) will be beneficial. Experience working with cloud services, particularly Azure, is advantageous. Familiarity with streaming and/or batch storage technologies like Kafka and data quality management and monitoring will be considered a plus. Strong communication skills in English are essential for effective collaboration within our team. If you are excited about this opportunity and possess the required qualifications, we encourage you to connect with us by sending your updated CV to nivetha.s@eminds.ai. Join us and become a part of our exciting journey!,