Senior Data EngineerCreated
Anantha Krishna
IT Lead Data Engineering at Shell Information Technology International Limited
772/1000
6 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
IT Lead Data Engineering at Shell Information Technology International Limited
Oct 2023 to present
BI & Analytics Developer at Evelyn Partners
Sept 2022 to Dec 2023
BI & Analytics developer at Evelyn Partners
May 2021 to Sept 2022
Senior Business Intelligence Developer at Just Group plc
Sept 2020 to Mar 2021
Data Warehouse Developer at Just Group plc
Jan 2018 to Mar 2020
Data Warehouse Developer at MS Amlin
Mar 2017 to Jan 2018
Education
- Masters in Computers, University of Madras
Match Information
Match factors
Matched(5)
- SeniorityRole: senior · Candidate: lead
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- Advanced SQLRole requires advanced SQL; candidate summary cites extensive SQL/BI/data warehouse background and SQL in skills.
- SQLNice to haveRole names SQL as a tool; candidate lists SQL in skills and SQL Server in tools.
Gaps(0)
No proven gaps
For your judgment(14)
- Employment typeRole: full-time · Candidate: not stated
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- PythonRole requires Python; candidate profile does not name Python, though it shows data engineering work.
- dbtRole requires dbt; candidate profile does not mention dbt.
- AirflowRole requires Airflow; candidate profile does not mention Airflow.
Reasoning
Why it fits
- Candidate currently holds a lead data engineering role, closely matching the senior data engineer position.
- Strong experience with data engineering, ETL, BI, and SQL aligns well with job requirements.
- Candidate has practical experience with Databricks and Apache Spark, showing advanced data pipeline skills.
- Located in London and open to hybrid work modes, matching the job's location and work mode.
- Experience in financial and insurance sectors supports adaptability to technology and data-driven industries.
Watch-outs
- Job requires specific tools like Python, dbt, Airflow, and AWS which are not explicitly evidenced in candidate's profile.
- Candidate's current seniority is lead, which is slightly above the senior level required, possibly leading to overqualification.
- Job is in technology and internet sector, while candidate's recent experience is more in oil and insurance sectors, a slight domain mismatch.
- Hybrid work mode requires 2 days a week onsite in Shoreditch; practical fit score is moderate due to partial evidence of willingness for hybrid work.
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