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Senior Data Engineer (Remote, Full-Time) [IS001]

Smart Working
India only

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About Smart Working

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the role

We’re looking for an experienced Senior Data Engineer to design, build, and optimise large-scale data solutions that power customer engagement, commerce, and analytics platforms operating at significant scale. In this role, you’ll work with terabyte-scale datasets and high-volume data systems, shaping data products that enable insight, performance, and data-driven decision-making across the organisation.
You’ll collaborate closely with Data Scientists, Software Engineers, Solution Architects, and business stakeholders, playing a key role in defining data architecture, pipeline design, and governance standards in a cloud-first environment.

Responsibilities

  • Lead the design and implementation of scalable ETL pipelines and data lakes in AWS
  • Develop and optimise data architectures for terabyte-scale relational and distributed data systems
  • Collaborate with Data Scientists, Software Engineers, and Architects to integrate data solutions into analytics platforms and applications
  • Translate non-technical business requirements into clear, actionable technical solutions
  • Implement Infrastructure as Code (IaC) using Terraform to automate and standardise deployments
  • Drive performance optimisation through indexing strategies, query tuning, and scalable data modelling
  • Ensure strong data governance, security, compliance, and quality controls across all environments
  • Automate workflows and enforce best practices for data quality, lineage, and reliability
  • Provide peer review and QA support for data engineering deliverables
  • Produce clear, structured documentation for data pipelines, architectures, and operational processes

Requirements

  • 5+ years of hands-on experience working with terabyte-scale databases and high-volume data systems
  • Strong understanding of core data engineering principles, including: Logical and physical data modelling (normalisation & denormalisation), ETL design and orchestration, Performance optimisation and scalability, Data quality, governance, and security
  • Advanced expertise in Microsoft SQL Server, including SSRS, SSIS, and SSAS
  • Proficiency with AWS Cloud services such as EC2, S3, RDS, and Glue
  • Experience using Terraform for infrastructure automation and deployment
  • Strong ability to translate business and stakeholder requirements into technical designs
  • Solid documentation skills, producing clear and maintainable technical artefacts
  • Advanced MS Excel skills (complex formulas, PowerPivot, VBA)
  • Experience using Python for data wrangling, automation, or pipeline support
  • Exposure to working across multiple cloud technologies and environments
  • Experience with BI tools such as Power BI and/or Tableau
  • Familiarity with AWS governance frameworks and compliance standards
  • Degree in a quantitative discipline (Computer Science, Engineering, Mathematics, or similar)

Nice to have

  • Domain experience in retail, banking, CRM, loyalty platforms, or digital marketing
  • Experience supporting data products used by customer-facing or commercial teams
  • Background working in fast-growing, data-driven or platform-based environments

Benefits

  • Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
  • No Weekend Work: Real work-life balance, not just words
  • Day 1 Benefits: Laptop and full medical insurance provided
  • Support That Matters:Mentorship, community, and forums where ideas are shared
  • True Belonging: A long-term career where your contributions are valued
At Smart Working, you’ll never be just another remote hire.
Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.
If that sounds like your kind of place, we’d love to hear your story.

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

India +/- 0 hours
SW

Smart Working

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