Sr Data Engineer

Righttalentrightnow; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading data solutions provider in Bengaluru is seeking a Senior Data Engineer to shape the data foundation crucial for business performance. The role requires expertise in data integration, pipeline development, and warehousing, alongside hands-on experience with Snowflake and AWS. The ideal candidate will design scalable data patterns, enforce quality standards, and effectively communicate with stakeholders. This position is vital for ensuring operational efficiency and leveraging trusted data to drive performance.

Qualifications

• Strong experience with data integration, pipeline development, and warehouse architecture.
• Strong hands-on experience with Snowflake and dbt.
• Experience with data integration tools such as Fivetran.
• Experience working with cloud platforms such as AWS.
• Advanced SQL with demonstrated performance tuning expertise.
• Experience with Git-based workflows and GitHub for version control.
• Experience working with global stakeholders.

Responsibilities

• Design scalable, reusable patterns that support consistent data flow across systems.
• Own how data enters and moves through the warehouse, ensuring consistency and integrity.
• Establish and enforce data quality standards across ingestion and transformation layers.
• Communicate technical tradeoffs clearly to both technical and business stakeholders.

Skills

Data integration

Pipeline development

Warehouse architecture

SQL performance tuning

Git-based workflows

Cloud platforms (AWS)

Data integration tools (Fivetran)

Hands-on experience with Snowflake

Experience with dbt

Job description

About the Role

We are hiring a Senior Data Engineer to shape and strengthen the data foundation that drives company performance. This is a senior individual contributor role with meaningful influence. You will define engineering standards, evolve our data platform, and ensure data is reliably integrated and structured to support confident decision making across the organization.

Success in this role requires more than technical execution. You will be expected to operate independently, bring structure to ambiguity, challenge unclear assumptions, and translate complex system and business problems into durable data solutions.

Key Responsibilities

• Design scalable, reusable patterns that support consistent data flow across systems
• Design and implement integrations across internal and external systems using tools such as Fivetran and custom pipelines
• Own how data enters and moves through the warehouse, ensuring consistency and integrity
• Ensure strong alignment between source system logic and warehouse representations
• Embed testing, documentation, and performance optimization into standard engineering practice
• Establish and enforce data quality standards across ingestion and transformation layers
• Design systems for validation, monitoring, and lineage
• Strengthen trust in enterprise data through consistent and reliable delivery
• Treat AI as a core capability in modern data engineering, leveraging it to deliver high-quality solutions with greater speed and rigor
• Design data pipelines and structures that enable safe and effective use of AI with trusted data
• Apply disciplined judgment when evaluating AI-generated outputs, ensuring enterprise standards for accuracy and consistency
• Establish practical guardrails for responsible AI usage across both engineering and business consumption
• Translate complex and ambiguous business questions into scalable data solutions
• Communicate technical tradeoffs clearly to both technical and business stakeholders

Qualifications

• Strong experience with data integration, pipeline development, and warehouse architecture
• Strong hands‑on experience with Snowflake and dbt
• Experience with data integration tools such as Fivetran
• Experience working with cloud platforms such as AWS
• Advanced SQL with demonstrated performance tuning expertise
• Experience with Git‑based workflows and GitHub for version control
• Experience working with global stakeholders

What We Look For

• Ability to operate independently in complex, evolving environments
• Strong analytical reasoning and systems thinking
• Ownership mindset with focus on measurable business outcomes
• Willingness to challenge assumptions constructively

Impact

The systems and standards established in this role will directly influence data reliability, operational efficiency, and decision making. The quality of this foundation will determine how effectively the organization leverages both trusted data and AI to drive performance.