Role: Data Engineer III

Location: Bangalore

Experience: 6 10 Years

CTC: 20 30 LPA (including 20% Variable)

Position Summary

My client organization is hiring a Data Engineer III who will be responsible for leveraging framework and platform capabilities to develop high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data to advance the data-driven decision-making across the enterprise. The individual for this position will be an individual contributor with broad experience in the areas of data engineering, data architecture, data management, data quality, and data governance.

They will interact with internal stakeholders, drive development, support existing solutions, as well as contribute to the broader data engineering organization. At this level, the engineer owns cross-pipeline and domain-level problems within a project, including ambiguous work where the solution shape is not given up front.

Primary Responsibilities

- Develops and operates contemporary data engineering solutions to meet key business objectives
- Contributes to generic frameworks for data ingestion, data processing, data integration, and data governance
- Follows best practices for software design, architecture, and implementation
- Conducts thorough code reviews with high-quality comments covering design decisions, performance implications, maintainability, and architectural alignment
- Leverages monitoring tools/processes to ensure platform stability and operational SLAs
- Extends DevOps capabilities for deploying data solutions
- Supports creation and adoption of data assets for the organization
- Works with product owners to address or prevent common pitfalls
- Acts as a go-to engineer for domain questions within the assigned project

Qualifications

- Bachelor’s Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field




- Minimum 4-5 years of experience in role delivering and supporting software and data engineering capabilities.
- Solid design and software programming development (design patterns, framework development, etc)
- Solid in core Python programming language skills (not limited to PySpark or analytical libraries)
- Solid SQL development and analytical skills
- Solid understanding of object-oriented programming principles
- Experience with automated code testing (pytest / unittest) and data testing (great expectations / dbt / etc)
- Experience with analytical tools & services (dbt, Snowflake/BigQuery, Tableau/PowerBI)
- Experience with cloud services within Azure, AWS, or GCP platforms (preferably Azure)
- Experience building APIs (experience with GraphQL is a plus)
- Hands-on experience with DevOps and CI/CD processes

Domain Expertise

- 4-5 years of working building enterprise data solutions
- Proven ability to contribute to frameworks within the data domain using services provided by major cloud platforms.
- Proven experience creating data assets used in mission-critical applications
- Proven experience using DevOps (Build + Run + Support) practices in the data space
- Experienced in Agile methodologies

Experiences

- Experience in being a member of cross-functional teams.
- Experience in the application of cloud technologies into a DataOps and DevOps practice

Individual Skills

- Strong collaborator, team player, and individual contributor
- Strong communication skills with comfort in speaking with business stakeholders
- Strong problem solver with ability to manage and lead the team to push the solution and drive progress

Mindsets and Behaviors

- Passion to challenge the status quo and find new solutions and drive out of the box ideas – loves and embraces change
- Believes in a non-hierarchical culture of collaboration, transparency, safety, and trust
- Not afraid to “roll up sleeves”; seeks to go beyond comfort to learn & pushes teams to do the same
- Empowers others to fail, learn, and grow with an experimental mindset to drive innovation

📌 Data Engineer 3 (Bengaluru)
🏢 ConsultMeIn
📍 Bengaluru