Data Engineer - L1

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: L1 Engineer - Managed Services

Experience Level: 1 to 2 Years

Work location: Trivandrum

Role & Responsibilities

  • Must have 1 to 2 years experience in infrastructure and Data Engineer as a service cloud computing for platforms such as GCP, Azure, AWS.
  • Provide first level support to GCP customers, addressing enquiries, troubleshooting issues and ensuring customer satisfaction.
  • Collaborate with other support teams to resolve complex technical problems
  • Monitor data pipelines and infrastructure to identify and address any performance or reliability issues.
  • Respond to alerts , incidents and disruptions in a timely manner.
  • Create and maintain documentation related to common issues, solutions and best practices.
  • He/She will be open to work in a 24x7 model to ensure all the services are being delivered within SLAs.
  • Requires excellent communications skills, both verbal and written.
  • Monitor and analyze system logs and RCA
  • Participate in Cloud Updates and Maintenance.
  • Initiate Incident Response for cloud outages.
  • Analyze trends to proactively prevent incidents
  • Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.
  • Regularly reviewing existing systems and making recommendations for improvements.
  • Interacting with clients, providing cloud support, and making recommendations based on client needs.
  • Scale infrastructure capacity on production;
  • Front line support for Cloud Monitoring – Infrastructure and Application;
  • Strong Linux/Unix/Windows administration;
  • Ability to learn new technologies quickly with some support and guidance
  • Participation in an on-call rotation and operate effectively in a global 24×7 environment

Skills Required

You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.

  • Strong verbal and written communication skills are a must
  • Familiarity with Google cloud platform services, especially those related to data engineering (Bigquery, Cloud storage, Dataflow, Airflow, Cloudrun, Dataprep etc).
  • Customer service obsession with strong interpersonal skills is a must.
  • Ability to work cross-functionally for the greater good of the company
  • A passion for the service delivery excellence
  • Good Understanding of Programming languages (Python) for automation and scripting tasks.
  • Knowledge of data formats (eg. JSON, Avro, Parquet) and data processing concepts
  • Know advanced SQL and be able to write the optimized query.
  • Ability to troubleshoot and prioritize issues based on their impact on customers.
  • Analytical and problem-solving skills to diagnose and resolve technical issues.
  • Strong customer service orientation with Excellent communication and Interpersonal skills.
  • Ability to empathize with customers and communicate technical information clearly and understandably.
  • Creative thinking and ability to innovate, problem-solving skills, escalation handling and customer success.
  • GCP Certifications such as Associate Cloud Engineer and Professional Data Engineer, can be a plus.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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