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Open nowPosted 254 days ago

Data Engineer

Jigsaw2 open roles

Where
Bangalore
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Your applicationOpen nowData EngineerJigsaw · Bangalore

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. Jigsaw postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 254 days ago

Jigsaw median: 7 days open

The posting

Data Engineer

Job Summary

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The role involves working closely with cross-functional teams to collect, process, and transform large datasets into reliable, high-quality data for analytics and business decision-making. The ideal candidate has strong expertise in data modeling, ETL processes, databases, and cloud-based data platforms, with a focus on performance, reliability, and data governance.

Responsibilities

  • Act as a technical expert on operational analytics solutions for networks, applications, and security workflows.
  • Take a hands-on role in integrating products to meet customer requirements.
  • Deploy solutions at customer sites, understanding their data, workflow, and analytics requirements.
  • Ensure customers are adequately enabled for use, facilitating understanding and self-service extensions of capabilities.
  • Collaborate with the sales team and partners for pre-sales activities to ensure successful engagements.
  • Own the design, development, and execution plans for Proof of Concept (POC) projects, leading deployment to completion.
  • Improve product features and quality by proposing enhancements and conducting customer reviews.

Qualifications

  • Technical Skills:
  • Proficiency in coding with Python, Ansible, and Terraform.
  • Experience in database technologies.
  • 3+ years of relevant hands-on coding experience.
  • Familiarity with public cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
  • Hands-on experience with Docker, Kubernetes, AWS CloudFormation Templates, and YAML.
  • Experience designing SQL queries to extract, validate, and analyze data using Jupyter Notebook.
  • Soft Skills:
  • Strong communication and comprehension skills, both verbal and written.
  • Familiarity with data analytics concepts.

Preferred Skills

- Experience in data analysis frameworks or tools would be a plus.

Experience

- 3+ years of relevant hands-on coding experience.

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