Senior Data Engineer at Keyrus leading the design, development, and delivery of scalable data platforms. Collaborating with teams to translate requirements into production-grade solutions and mentoring engineers.
Responsibilities
Lead the design, development, and delivery of scalable enterprise data platforms
Act as a technical leader, mentoring data engineers and driving engineering best practices
Conduct technical guidance sessions and code reviews
Drive onboarding and upskilling initiatives
Design and implement end-to-end data architectures and reusable frameworks
Build, optimise, and maintain scalable ETL/ELT pipelines using Python, SQL, Snowflake, Airflow, and Kafka
Develop pipelines processing 30M+ records daily and enterprise platforms handling billions of records
Implement advanced data engineering practices such as SCD Type 2 and modular pipeline design
Collaborate with cross-functional teams in an Agile delivery environment
Support end-to-end delivery across DEV, QA, and PROD environments
Requirements
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.
Benefits
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)
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