V
Software Engineer
Job Description
P2C3STSExperience: 4 to 6+ years of hands-on experience in Big Data development and data warehousing.
Programming: Strong proficiency in Python and PySpark; experience with Scala is a strong plus.
SQL Expertise: Strong command of SQL, performance tuning, and analytical functions.
Big Data Ecosystem: Familiarity with Hadoop, HDFS, Hive, Kafka, or Databricks.
Cloud Platforms: Working knowledge of cloud environments like AWS (S3, EMR, Glue), Azure, or Google Cloud.
DevOps & Tooling: Experience with Git, CI/CD pipelines, and UNIX/Linux shell scripting
Strong proficiency in Python and PySpark; experience with Scala is a strong plus.
Strong command of SQL, performance tuning, and analytical functions.
Familiarity with Hadoop, HDFS, Hive, Kafka, or Databricks
Experience with Git, CI/CD pipelines, and UNIX/Linux shell scripting
Working knowledge of cloud environments like AWS (S3, EMR, Glue), Azure, or Google Cloud.
Programming: Strong proficiency in Python and PySpark; experience with Scala is a strong plus.
SQL Expertise: Strong command of SQL, performance tuning, and analytical functions.
Big Data Ecosystem: Familiarity with Hadoop, HDFS, Hive, Kafka, or Databricks.
Cloud Platforms: Working knowledge of cloud environments like AWS (S3, EMR, Glue), Azure, or Google Cloud.
DevOps & Tooling: Experience with Git, CI/CD pipelines, and UNIX/Linux shell scripting
Strong proficiency in Python and PySpark; experience with Scala is a strong plus.
Strong command of SQL, performance tuning, and analytical functions.
Familiarity with Hadoop, HDFS, Hive, Kafka, or Databricks
Experience with Git, CI/CD pipelines, and UNIX/Linux shell scripting
Working knowledge of cloud environments like AWS (S3, EMR, Glue), Azure, or Google Cloud.
More Info
Key Skills
UNIX/Linux shell scripting
CI/CD pipelines
About Company
Skills:
Veeva Vault Clinical Suite (TMF, SSU), J2EE framework, Service Now, JIRA, Sql, Python, ctms, Documentum, Veeva Site payments
Skills:
Java, Scala, Sql
Skills:
containerization , Kafka, API design, Microservices, metrics, Data Protection, Python, Logging, Java, Hadoop, Scala, Hive, MLops, Authentication, Spark, Kubernetes, GenAI, LLM tooling, Event-driven systems, Distributed tracing, Go, Security, Authorization, Observability, Cloud-native engineering practices, HDFS