Senior Data Engineer

Posted Yesterday
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Gurugram, Haryana, IND
In-Office
Senior level
Information Technology • Consulting
The Role
Design and build scalable data pipelines and ETL/ELT processes, integrate machine learning models, expand the data platform, and develop Google Cloud–based applications. Deploy and manage Docker containers and Kubernetes infrastructure using Terraform; employ CI/CD practices and workflow tools like Airflow or Cloud Composer.
Summary Generated by Built In
Responsibilities

Use the latest technology to build data pipelines and integrate machine learning
models
Build and expand our data platform
Develop applications that run on a Google Cloud-based infrastructure

Qualifications

• 5+ years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL and data warehousing concepts, including
BigQuery.
• Have strong programming skills in SQL, Python/PySpark etc.
• Experience in the design and development of data pipelines, ETL/ELT processes.
• Experience in one of the public cloud providers – GCP, Azure, AWS.
• Experience with relational SQL and NoSQL databases, including Postgres and
MongoDB.
• Experience with workflow management tools: Airflow, AWS data pipeline, Google
Cloud Composer, etc.
• Comfortable using Azure DevOps or similar CI/CD tools, Git
• Building Docker images and deploying them to Production. Integrate Docker
container orchestration
• Framework using Kubernetes by creating pods, config Maps, and deployments using
terraform.
• Strong problem solving and communication skills.
• Bachelor's or an advanced degree in Computer Science or related engineering
discipline.
• Optionally have experience with C#, .NET core, and microservices

Skills Required

  • 5+ years of experience in Big Data and Data Engineering
  • Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery
  • Strong programming skills in SQL, Python/PySpark
  • Experience in the design and development of data pipelines, ETL/ELT processes
  • Experience in one of the public cloud providers - GCP, Azure, AWS
  • Experience with relational SQL and NoSQL databases, including Postgres and MongoDB
  • Experience with workflow management tools: Airflow, AWS Data Pipeline, Google Cloud Composer
  • Comfortable using Azure DevOps or similar CI/CD tools, Git
  • Building Docker images and deploying them to Production
  • Integrate Docker container orchestration using Kubernetes by creating pods, ConfigMaps, and deployments using Terraform
  • Strong problem solving and communication skills
  • Bachelor's or advanced degree in Computer Science or related engineering discipline
  • Experience with C#, .NET Core, and microservices
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The Company
HQ: Vaughan, Ontario
345 Employees
Year Founded: 2007

What We Do

@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry

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