Senior Data EngineerCreated
778/1000
6 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
Data & Cloud Engineer at AMPLINNO INDIA PVT. LTD.
Feb 2022 to present
Lead data & cloud engineering: Databricks/Spark pipelines, Delta Lake lakehouse design, Azure data platform (Data Lake, Synapse), Unity Catalog governance, CI/CD with Terraform/Docker/Kubernetes; mentored engineering teams and drove platform migrations.
Principal Cloud Engineer at Nippon Life India Asset Management (Singapore) Pte. Ltd
Jul 2020 to Feb 2022
Architected cloud-native data platforms for asset management: Databricks/Spark, Delta Lake, Synapse; led CI/CD, governance (Unity Catalog, Microsoft Purview) and AI/ML enablement for fund analytics.
Vice President - Technology (Data Engineering) at Reliance General Insurance
Sept 2015 to Jul 2020
Led data engineering and platform initiatives for insurance operations, delivered enterprise data solutions and analytics pipelines.
AVP - Technology & Innovation at ICICI Lombard
Jan 2013 to Sept 2015
Delivered enterprise mobile and infrastructure solutions; managed operations, monitoring and large-scale application support.
Education
Match Information
Match factors
Matched(5)
- LocationRole: London, Shoreditch · Candidate: London, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- PythonRole needs Python; candidate lists Python in standardised skills.
- SQLNice to haveRole needs SQL as a tool; candidate lists SQL in skills and career spans data platforms.
- TerraformNice to haveRole needs Terraform; candidate lists Terraform in skills and tools.
Gaps(0)
No proven gaps
For your judgment(14)
- SeniorityRole: senior · Candidate: head
- Employment typeRole: full-time · Candidate: not stated
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- Advanced SQLRole needs advanced SQL; candidate lists SQL as a skill but shows no depth.
- dbtRole needs dbt; dbt never appears in candidate profile, though data engineering career is in scope.
Reasoning
Why it fits
- Candidate has strong experience with Databricks, Spark, and Azure data platforms relevant to data engineering.
- Extensive background in designing and building data pipelines and lakehouse architectures aligns well with job tasks.
- Candidate has leadership experience mentoring engineering teams, matching the seniority and mentoring requirements.
- Experience in financial services and technology sectors supports domain relevance.
- Candidate is located in London and open to hybrid work modes, matching job location and work mode.
Watch-outs
- Job requires specific experience with AWS, dbt, Airflow, and Snowflake which candidate has less direct evidence of.
- Job emphasizes batch and streaming pipelines with Kafka and data quality tools not strongly evidenced in candidate profile.
- Job is a senior role but candidate's current role is head level, which may be slightly above the job's seniority level.
- Job requires hybrid work with 2 days in Shoreditch; candidate's practical fit is moderate due to unspecified willingness for exact hybrid schedule and commute specifics.
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