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51 to 200 Employees · London, United Kingdom
Hiring: Engineering
What employees say
+ I could not find anything
− They harass you with a lot of things even after you leave the company. No process and no control over any work flow.
More reviews on the company profile.
Interview experience · Associate
Smooth process total 2 rounds of interviews all basic questions were covered In HR Interviews Salary expectations was asked Knowledge on product and service based companies and tech hiring processes All Search skills
Easy difficulty · Bengaluru · 8 reports
More interview insightsJob description
Overview
Key Skills: AWS, Data Bricks, Data Engineer, Python, Pyspark, ETL, MySQL
Responsibilities
- Design, develop, and maintain scalable data pipelines and analytical workflows using Databricks, Python, PySpark, and AWS services.
- Build reusable ETL/ELT frameworks, data models, transformation components, and data-quality controls for structured and unstructured datasets.
- Develop and optimize distributed-processing workloads, improving scalability, performance, reliability, and cloud resource utilization.
- Build Python-based APIs and data services to expose analytics and business data to downstream applications.
- Support data-platform migration, cloud-modernization, governance, reconciliation, monitoring, testing, CI/CD, and production-support initiatives.
- 8 - 14 years of experience in Data Engineering, Data Science, or Analytics Engineering roles.
- Strong hands-on experience with AWS and Databricks-based data engineering solutions.
- Advanced Python programming skills and experience designing scalable data-processing applications.
- Proven experience delivering data engineering solutions across cloud data platforms, distributed architectures, and data lakes.
- Strong understanding of APIs, data quality, data governance, scalable processing, and production deployment practices.
- Experience with ETL, PySpark, and MySQL.
Qualifications
- AWS, Data Bricks, Data Engineer, Python, Pyspark, ETL, MySQL
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Job application FAQ
Last updated 11 October 2026
- How do I apply for Senior Data Engineer- Databricks at Careernet?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Careernet may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data Engineer- Databricks role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Engineer- Databricks remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer- Databricks role at Careernet?
- This is a senior Senior Data Engineer- Databricks role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.