phData

Senior DevOps Engineer, Cloud

phData

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSAzureCloudETLHDFSKafkaLinuxMatillionNoSQLOraclePythonRDBMSSparkSQLUnix

About the role

  • Supporting and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
  • Ability to learn new technologies in a quickly changing field.
  • Owns the execution of Tasks and questions around Tasks other Engineers are working on related to the project.
  • Responds to Pager Incidents. Solves hard and challenging problems. Goes deep into customer processes and workflows to solve issues.
  • Demonstrate clear ownership of tasks on multiple simultaneous customer accounts across a variety of technical stacks.
  • Continually grow, learn, and stay up-to-date with the Managed Services technology stack.
  • 24/7 rotational shifts.

Requirements

  • Working knowledge of SQL and the ability to write, debug, and optimise SQL queries.
  • Experience in providing operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift).
  • Hands-on experience working with a Relational Database Management System like Oracle or MSSQL.
  • Experience working in a 24*7 production support team, monitoring and supporting scheduled data jobs and pipelines (ETL/ELT)
  • Working knowledge of Unix/Linux environments.
  • Basic understanding of writing and optimising Python programs.
  • Experience with cloud-native data technologies in AWS or Azure.
  • Familiarity with ITIL processes and working in SLA-driven support environments.
  • Strong troubleshooting and performance tuning skills.
  • Client-facing written and verbal communication skills and experience.
  • Open to learning new technology stacks and up-skilling/training the other team members.
  • Production support experience and certifications in core data platforms such as Snowflake, AWS, Azure, or Databricks.
  • Hands-on experience working with a Relational Database Management System like Oracle or MSSQL.
  • Production support experience working with QLIK Sense support tasks.
  • Production support experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, or other NoSQL storage systems.
  • Production support experience working with Data integration technologies such as Spark, Kafka, event/streaming, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Services, Azure DataFactory or others.
  • Production support experience working with Workflow Management and Orchestration such as Airflow, AWS Managed Airflow, Luigi, NiFi.
  • Expertise in scripting language to automate repetitive tasks (preferred Python).
  • Knowledge of continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, and Liquibase.
  • Bachelor's degree in Computer Science or a related field
Benefits
  • Competitive compensation plan, including base salary, annual bonus, training, certifications, and equity.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonETLELTUnixAWSAzureSnowflakeRedshiftOracle
Soft skills
troubleshootingperformance tuningclient-facing communicationownershipteam trainingadaptabilityproblem-solvingclear communicationcollaborationtime management
Certifications
Snowflake certificationAWS certificationAzure certificationDatabricks certification
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