Data Engineer

2 weeks ago

Pune, Maharashtra, India Nanotech Soft-App IT Solution Full time

In this role, you will:

  • Technical leadership for a team of engineers that focus on development, deployment and operations.
  • Lead and contribute to multiple pods with moderate resource requirements, risk, and/or complexity.
  • Interface technically with a range of stakeholders with customer and business impact
  • Leading others to solve complex problems.
  • Experience in working within an agile, multidisciplinary DevOps team.
  • Migrate and reengineer existing services from onpremises data centres to Cloud (GCP/AWS)
  • ETL Engineer is responsible for performing system development work with background of various data models and data warehousing concepts.
  • Write, analyse, review, and rewrite programs to departmental and Group standards.
  • Understanding the business requirements and provide the realtime solutions.
  • Following the project development tools like JIRA, Confluence and GIT
  • Build and maintain operations tools for monitoring, notifications, trending, and analysis.
  • Enhance programs to increase operating efficiency or adapt to new requirements.
  • Review code from team members Analyst/Developers as part of the quality assurance process
  • Produce unit test plans with detailed expected results to fully exercise the code.
  • Work closely with solution architect, business Analyst and technology lead to contribute in achieving final outcome.
  • Demonstrate upward graph in adaption of various Engineering Practices
To be successful in this role, you should meet the following requirements:

Mandatory Skills:

  • Senior Data Engineer with Cloud (GCP) (Experience 6 to 10 Years)
  • Mandatory Google Cloud Big Query Scripting Skills or Snowflake AWS or Cloud SQL Knowledge
  • Mandatory SQL PL/SQL Scripting Experience (High level expertise and handson work)
  • Mandatory shell scripting Or Python or Terraform script, Skills (High level expertise and handson work)
  • Should have experience on any of the RDBMS
Good To Have:


- GCP Data Engineer certifications is an added advantage.

  • Must have good Experience/knowledge on GCP components like GCS, Big Query, Airflow, Cloud SQL and Google Cloud SDK


 Strong Scheduler knowledge
  • Preferable Control M or ETL Tool or Any from
  • UC4 Atomic, Airflow Composer
  • Prefer to have Juniper Ingestion process awareness
  • Experience in working within an agile, multidisciplinary 'Dev-Ops' team.
  • Changes, Incident and Problem Management
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