Java & Cloud Lead engineer- WFH

Lead Java & Cloud software engineer - WFHThis is a fully remote working opportunity.We need some one who can join in less than 15 days .If you are interested and fullfill the above mentioned criteria then send below information.1. Years is relevant exp( java & cloud )2. Notice period3. CCTC / ECTC4. Updated Resume with specially mentioning specified skills - GCP, Snowflake, Databricks, AzureMust Haves : Technology Stack : Java, SpringBoot, Cassandra, GCP, APIYour skills and experience that will help you excel4 to 7 years of experience in Java and Cloud Software Engineering.Proficiency in Java 17 & Spring Boot.Experience working with distributed data-intensive platforms.Experience working with Cloud Platforms.Strong problem-solving and communication skills.Experience working on Cloud platforms (GCP / Azure) and familiarity with DevOps practices.Hands-on experience using Spark.Familiarity with SQL Oracle / Postgres.Experience with Spark on Databricks.Experience with Data Lake.Experience with automation & batch processing.Strong hands-on experience with Java, Spring Boot, Apache Spark, and Databricks.Proficiency in cloud environments, especially Google Cloud Platform (GCP).Experience with distributed databases and CI / CD pipelines using Azure DevOps.Ability to build scalable, high-performance backend systems.Familiarity with ESG or financial data products is a plus.Good communication and collaboration skills in agile teams.

• Must to have skillsets
• Proficiency in Java 17 & Spring Boot.
• Experience working with distributed data-intensive platforms.
• Experience working with Cloud Platforms.
• familiarity working with NoSql Database like Cassandra
• Main Tasks : Key Responsibilities
• Design and develop Java, Spring-boot microservices.
• Work proficiently with Java 17 & Spring Boot.
• Work with distributed data-intensive platforms.
• Gain experience working with Cloud Platforms.
• Solve complex problems and communicate effectively within the team.
• Work on Cloud platforms (GCP / Azure) and gain experience on DevOps practices.
• Hands-on experience using Spark is an added advantage.
• Familiarity with SQL Oracle / Postgres.
• Experience with Spark on Databricks is an added advantage.
• Experience with Data Lake.
• Experience with automation & batch processing.