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Sr DevOps Engineer

A DevOps engineer’s roles and responsibilities are a combination of technical and management roles. It is essential to have excellent communication and coordination skills to successfully integrate various functions in a coordinated manner and deliver the responsibilities to the customer’s satisfaction.

The DevOps engineer’s responsibilities are multi-prong – they need to be agile enough to wear a technical hat and manage operations simultaneously.

Some of the core responsibilities of DevOps Engineer include –

  • Understanding customer requirements and project KPIs
  • Implementing various development, testing, automation tools, and IT infrastructure
  • Planning the team structure, activities, and involvement in project management activities.
  • Managing stakeholders and external interfaces
  • Setting up tools and required infrastructure
  • Defining and setting development, test, release, update, and support processes for DevOps operation
  • Have the technical skill to review, verify, and validate the software code developed in the project.
  • Troubleshooting techniques and fixing the code bugs
  • Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
  • Encouraging and building automated processes wherever possible
  • Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
  • Incidence management and root cause analysis
  • Coordination and communication within the team and with customers
  • Selecting and deploying appropriate CI/CD tools
  • Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
  • Mentoring and guiding the team members
  • Monitoring and measuring customer experience and KPIs
  • Managing periodic reporting on the progress to the management and the customer

Big Data Developer

Job Duties and Responsibilities:
Build processes that support data transformation, data structures, metadata, dependency and workload management
Build and Implement data ingestion and curation process developed using Big data tools such as Spark (Scala/python), Hive, Spark, HDFS, Sqoop, Hbase, Kerberos, Sentry and Impala etc.
Handle ingestion of huge volumes data from various platforms for Analytics needs and writing high-performance, reliable and maintainable ETL code Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
Write shell scripts. Complex SQL queries, Hadoop commands and Git.
Create Database, Schemas, Hive tables (External and Managed) with various file formats (Orc, Parquet, Avro and Text etc.)
Monitor performance of production jobs and advising any necessary infrastructure changes.
Work on Code version using Bitbucket and CI/CD pipeline.
Requirements: Bachelor’s degree in Computer Science, IT, Engg or related with at least 60 months of experience. Send resume to: hr@encloudservices.com including the JOB ID. Travel and relocation to various unanticipated client locations throughout the United States may be required.Equal Opportunity Employer.