8 jobs found for Devops in PUNE, Maharashtra

    Overall 4+ years of experience in Azure and DevOps. ·Must be well versed with automation on cloud (both infrastructure and application deployments). ·Automation using ARM Templates and Terraform·Must have a good understanding and experience of containers and DevOps tools and services ·Must be able to understand the networking and communication on Cloud platform. ·Must have a good understanding and experience of AKS/K8S·Should be willing to work both of

 This role is currently open for a client that deliver business excelence using cloud technologies. Details of the role are as below. Experience in developing and optimizing ETL pipelines, big data pipelines, and data-driven architectures.·Must have strong big-data core knowledge & experience in programming using Spark – Python/Scala·5+ years of relevant strong experience in working with real-time data streaming using Kafka·Experience in solving Streaming

5+yrs relevant experience Spark , ETL, SQLAnyone – AWS Azure GCP preferably AWS Optional –Spark StreamingRole & Responsibilities –Experience in developing and optimizing ETL pipelines, big data pipelines.Must have strong big-data core knowledge & experience in programming using Spark – Python/ScalaFamiliarity with DevOps framework – Git/Bitbucket , Jenkins etc.

 This role is currently open for a client that deliver business excelence using cloud technologies. Details of the role are as below. Experience in developing and optimizing ETL pipelines, big data pipelines, and data-driven architectures.·Must have strong big-data core knowledge & experience in programming using Spark – Python/Scala·3+ years of relevant strong experience in working with real-time data streaming using Kafka·Experience in solving Streaming

    6+ years of technology experience·Spark Streaming experience is mandatory·Technology Stack:·Spark Streaming·Kafka·Spark, Flink·AWS (Good to have)·Java/Python/Scala·Microservices Architecture·Exposure to API Management·Architectural experience with Spark, AWS and Big Data (Hadoop Cloudera Mapr Hortonworks).·Strong knowledge on optimizing workloads developed using Spark SQL/DataFrame.·Proficiency with Data Processing: Hadoop, Hive, Spark, Scala, Python,

 8+ years of technology experience·Spark Streaming experience is mandatory·Technology Stack:·Spark Streaming·Kafka·Spark, Flink·AWS (Good to have)·Java/Python/Scala·Microservices Architecture·Exposure to API Management·Architectural experience with Spark, AWS and Big Data (Hadoop Cloudera Mapr Hortonworks).·Strong knowledge on optimizing workloads developed using Spark SQL/DataFrame.·Proficiency with Data Processing: Hadoop, Hive, Spark, Scala, Python, PyS

3+ years of relevant strong experience in developing data processing task using Spark and  AWS -cloud native services.Strong knowledge on optimizing workloads developed using Spark SQL/DataFrame.Good to have knowledge on databricks Cloud.Proficiency with Data Processing: Hadoop, Hive, Spark, Scala, Python, PySpark.Strong analytic skills related to working with structured, semi structured and unstructured datasets.Expertise in at least one popular cloud pro

Job Description: 6+ years of relevant experience in developing big data processing task using PySpark/Glue/ADF/Hadoop and other cloud native services. Strong knowledge on optimizing workloads developed using Spark SQL/DataFrame. Proficiency with Data Processing: Hadoop, Hive, Spark, Scala, Python, PySpark. Experience in at least one popular programming language – python/Scala/Java Strong analytic skills related to working with structured, semi structured a