Data Platform Engineer

Euromonitor International

Bengaluru

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A global market research firm is looking for a Data Platform Engineer III in Bengaluru. This mid-senior level role involves implementing data-centric business solutions, collaborating with technology teams, and ensuring optimal data delivery. Ideal candidates should have extensive experience with SQL, Microsoft Azure services, and data management tools. This full-time position offers a chance to advance your career in the technology sector.

Qualifications

  • Proven ability to implement data centric business deliverables.
  • Experience in collaborating with technology teams and data scientists.

Responsibilities

  • Implement internal process improvements by applying data logic.
  • Ensure production products perform efficiently and effectively.
  • Stay updated with industry standards to improve product quality.
  • Create best practices and standards for business solutions.
  • Monitor services and respond to incidents effectively.
  • Train colleagues on products and best practices.
  • Create necessary documentation for business objectives.

Skills

SQL (T‑SQL) programming
Data Processing and Integration Tools (ADF / SSIS)
Data Storage and Management Systems, Data Formats (RDBMS / NoSQL / JSON / XML)
Microsoft Azure Data Services
CI/CD Tools (preferably Azure DevOps)
Infrastructure as code scripts (ARM Templates / PowerShell / Bash)
Advanced programming skills
Microsoft Azure Fundamentals certification
Microsoft Azure Data Engineer Associate certification
Agile methodologies
Business Intelligence tools (SSRS / PowerBI / Tableau)
Microsoft Certified: Fabric Data Engineer Associate
Experience in Microsoft Fabric
Degree in Computer science, IT or similar
Other data engineering or Cloud platform certifications

Education

Degree in Computer science, IT or similar

Job description

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Euromonitor International provided pay range

This range is provided by Euromonitor International. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

The Data Platform Engineer is responsible for the implementation of data centric business deliverables – data manipulation, building data systems and data pipelines. It is expected that the Data Platform Engineer can contribute to data solution design and articulate this back to the business with clarity. Designed and/or implemented business solutions will be considered fit for purpose on several levels notably: cost, requirement, resilience, performance, security and future proofing/improvements. The Engineer will collaborate with and support technology teams, data researchers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This person would also be key in the distribution of knowledge and skills around data manipulation and data flow services to the wider Technology team/members.

Key responsibilities
  • Data Solutions Implementation – applying business‑data logic to identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing.
  • Performance and Testing – ensure that products in production perform as efficiently and effectively as possible and follow internal testing practices applying appropriate review strategies.
  • Continuous Learning – stay up to date with industry standards and technological advancements that improve product development quality, business continuity, performance, security and cost savings.
  • Creating best practices – create, lead and contribute to creation of best practices and standards for any business solutions the team owns.
  • Monitoring and Support – keep any services the team owns in best health, respond to incidents and propose solutions for improvements.
  • Training/Coaching – spread the knowledge learned. Train and coach colleagues on products, services the team owns and the standards and best practices to follow.
  • Documentation – create required documentation to meet business objectives and compliance requirements.
Requirements
  • Skilled in SQL (T‑SQL) programming
  • Skilled in Data Processing and Integration Tools (ADF / SSIS)
  • Skilled in Data Storage and Management Systems, Data Formats (RDBMS / NoSQL / JSON / XML)
  • Skilled in working with Microsoft Azure Data Services
  • Skilled in CI/CD Tools (preferably Azure DevOps)
  • Skilled in writing infrastructure as code scripts (ARM Templates / PowerShell / Bash)
  • Advanced programming skills
  • Microsoft Azure Fundamentals certified
  • Microsoft Azure Data Engineer Associate certified
  • Experience in Agile methodologies
  • Experience in Business Intelligence tools (SSRS / PowerBI / Tableau)
  • Advantageous – Microsoft Certified: Fabric Data Engineer Associate
  • Advantageous – Experience in Microsoft Fabric
  • Advantageous – degree in Computer science, IT or similar
  • Advantageous – any other data engineering or Cloud platform certifications
Benefits

Benefits are provided upon offer.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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