Java & Cloud Lead engineer- WFH

3 weeks ago

Indore Madhya Pradesh India, Madhya Pradesh AgileEngine Full time
Lead Java & Cloud software engineer - WFH

This 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 period
3. CCTC/ECTC
4. Updated Resume with specially mentioning specified skills - GCP, Snowflake, Databricks, Azure

Must Haves: Technology Stack:
Java, SpringBoot, Cassandra, GCP, API

  • Your skills and experience that will help you excel
  • 4 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.

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