Senior Data EngineerCreated

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Amol Mhetre

Lead data engineer - Spark | AWS | Databricks | Snowflake | Bigdata at Cognizant

London, England, United KingdomLinkedIn

775/1000

6 to check

Role

Role Name

Senior Data Engineer

Company

Northstar Lending

Location(s)

London, Shoreditch

Work Mode

hybrid

Employment Type

full-time

Pay

£85,000 to £100,000 per year

Key Requirements

Skills

PythonAdvanced SQLdbtAirflowAWSData pipeline orchestrationData modeling

Tools

PythonSQLKafkaSnowflakedbtAirflowTerraformAWS

Candidate

Summary

Lead Data Engineer based in London experienced in Spark, Databricks, Snowflake and AWS. Multiple certifications (Databricks, HDP, AWS). Focus on data pipelines, Lakehouse architecture and Big Data engineering.

Work History

  • Lead Data Engineer - Spark | AWS | Databricks | Snowflake | Bigdata at Cognizant

    present

    Lead Data Engineer focused on Spark-based data engineering, Databricks Lakehouse, Snowflake, AWS and Big Data solutions; Hortonworks/Hadoop experience.

Education

  • Rajiv Gandhi Prodyogiki Vishwavidyalaya, 2011

Match Information

Match factors

6 to check

Matched(5)

  • Seniority
    Role: senior · Candidate: lead
  • Location
    Role: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
  • Work mode
    Role: hybrid · Candidate accepts: remote, hybrid, on-site
  • AWS
    Role needs AWS; candidate lists AWS as a skill and tool and holds AWS Certified Solutions Architect Associate.
  • SnowflakeNice to have
    Role needs Snowflake; candidate lists Snowflake as a current skill and tool at Cognizant.

Gaps(0)

No proven gaps

For your judgment(14)

  • Employment type
    Role: full-time · Candidate: not stated
  • Pay
    Role: £85,000–£100,000 · Candidate: pay expectation not stated
  • Python
    Role needs Python; candidate skills are Spark, Databricks, Snowflake, Hadoop, AWS and Java, with no Python named.
  • Advanced SQL
    Role needs advanced SQL; profile names no SQL skill, though its Snowflake and Databricks work implies warehouse querying.
  • dbt
    Role needs dbt; dbt never appears in the candidate's profile, skills, tools or certifications.

Reasoning

Why it fits

  • Candidate is currently a Lead Data Engineer with strong experience in Spark, Databricks, Snowflake, and AWS, matching core job requirements.
  • Multiple relevant certifications including Databricks Certified Data Engineer and AWS Certified Solutions Architect.
  • Experience with big data technologies and cloud platforms aligns well with the job's technical stack.
  • Candidate is located in London and open to hybrid and on-site work, matching the job's location and work mode requirements.
  • Candidate has leadership experience which supports mentoring responsibilities in the job.

Watch-outs

  • Job requires strong Python and advanced SQL skills which are not explicitly evidenced in the candidate profile.
  • The job emphasizes data pipeline orchestration with Airflow and dbt, which are not mentioned in the candidate's skills or tools.
  • Candidate's seniority as Lead is slightly above the Senior level requested, which may affect fit.
  • The job is in the technology and internet sector, while the candidate's experience is primarily in IT services and consulting, a related but not identical industry.

Reach Amol

Outreach:
Amol MhetreLead data engineer - Spark | AWS | Databricks | Snowflake | Bigdata at Cognizant
Email not revealed
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Draft Message

Amol Mhetre | JobVantage