🌍 About Keyrus

Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.

Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.

At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOneKeyrus

🎯 The Role

As a Senior Data Engineer, you will lead the design, development, and delivery of scalable enterprise data platforms, supporting high‑impact business use cases in complex data environments.

You will act as a technical leader, mentoring data engineers, driving engineering best practices, and partnering closely with business and senior stakeholders to translate requirements into production‑grade data solutions.

📍 Job location: Pune or Bangalore (Hybrid — 3 days per week in the office)
🕒 Contract type: Permanent
🗓 Target start date: June 2025
⏰ Working hours: Full-time (40h/week), aligned with the GMT timezone (starting at 1:00 PM IST)
💵 Compensation: 30lakh to 40lakh

Note: All applications must be submitted in English.

💥 Your Impact

In this role, you will:

• Act as a go-to technical expert, supporting the resolution of complex data, performance, and architectural challenges

• Conduct technical guidance sessions and code reviews, strengthening team capabilities in data modelling, Snowflake optimisation, and pipeline design

• Drive onboarding and upskilling initiatives, reducing ramp-up time and improving overall team productivity

• Design and implement end-to-end data architectures and reusable frameworks for enterprise data products

• Build, optimise, and maintain scalable ETL/ELT pipelines using Python, SQL, Snowflake, Airflow, and Kafka (CDC)

• Develop pipelines processing 30M+ records daily and enterprise platforms handling billions of records, ensuring performance, scalability, and reliability

• Implement advanced data engineering practices such as SCD Type 2, modular pipeline design, and performance tuning

• Optimise Snowflake workloads and SQL queries, improving pipeline performance and reducing compute costs

• Drive continuous improvement initiatives through query optimisation and code refactoring

• Simplify and modernise orchestration by transitioning pipelines (e.g., Airflow → Snowflake Tasks)

• Design and maintain logical and physical data models aligned with business and analytical requirements

• Ensure data quality, governance, and compliance, including publishing datasets to tools like Collibra

• Implement robust data validation, monitoring, and lineage practices

• Collaborate with cross-functional teams (Business Analysts, QA, DevOps) in an Agile delivery environment

• Partner with stakeholders to translate business requirements into scalable data solutions

• Support end-to-end delivery across DEV, QA, and PROD environments, ensuring reliability and structured releases

• Contribute to enterprise-level data initiatives

• Enable data-driven decision-making through curated datasets and monitoring dashboards (e.g., Power BI)

• Resolve large-scale data challenges (e.g., billions of records), ensuring accuracy and consistency for downstream analytics

⚡ What Makes This Role Challenging

• Working with large-scale, high-volume enterprise data platforms (billions of records)

• Balancing hands-on engineering work with leadership and mentoring responsibilities

• Operating in complex, evolving data ecosystems requires both pragmatism and strong architectural thinking

• Driving standards, optimisation, and scalability across multiple teams and data products

👤 What We’re Looking For

Must-haves

• Bachelor’s or Master’s degree in Computer Science, IT, or related field

• 6+ years of experience in Data Engineering, including leadership or senior-level responsibilities

• Strong proficiency in Python and advanced SQL

• Hands-on experience with Snowflake, including:

  • Streams & Tasks

  • Time Travel

  • UDFs

  • Data sharing

  • Performance optimisation

• Proven experience building and maintaining scalable ETL/ELT pipelines

• Experience with data orchestration tools (Airflow or Snowflake Tasks)

• Exposure to streaming/CDC technologies (e.g., Kafka)

• Strong understanding of data modelling, warehousing concepts, and analytics use cases

• Experience working in Agile, cross-functional teams

• Strong communication skills and fluency in English

Nice-to-haves

• Experience with data governance tools (e.g., Collibra)

• Exposure to BI and monitoring tools (e.g., Power BI)

• Experience with tools like Alteryx for data ingestion or transformation

• Familiarity with cloud platforms (AWS, Azure, or GCP)

• Background in consulting or enterprise-scale data environments

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🎁 What We Offer

• Hybrid work model (3 days/week in office)

• 18 paid leaves + 9 public holidays

• ₹5L medical insurance + ₹10L accident insurance

• Competitive fixed salary with EPF & statutory benefits

• International consulting exposure with Keyrus clients

• Discretionary Bonus Scheme 

• Referral Bonus Scheme

• Training & Development via KLX (Keyrus Learning Experience)

💙 Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence

• A company where people, trust, and diversity are core values

• An environment that values ownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.