Apexon
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Bengaluru · On-site · 6-9 Yrs · Sep 22
Information Technology Support Services · 5001 to 10000 Employees · Santa Clara, US
centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving our clients’ toughest technology problems, and a commitment to continuous improvement. We focus on three broad areas of digital services: User Experience (UI/UX, Commerce); Engineering (QE/Automation, Cloud, Product/Platform); and Data (Foundation, Analytics, and AI/ML), and have deep expertise in BFSI, healthcare, and life sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.
Hiring: Engineering
What employees say
+ Better learning opportunities, good work culture
− No cab and food, late night stretches
More reviews on the company profile.
Interview experience · Software Engineer
Fresher - - 1 Aptitude test contains quantitative + 1 questions one technology. - then 2 technical round on same day. - then 1 HR round on same day. - then 1 round with Co-founder in next week.
Average difficulty · India · 287 reports
More interview insightsJob description
Overview
Requirement details:
Responsibilities
- Develop and maintain scalable data pipelines using Azure Databricks and PySpark.
- Build data transformation and processing solutions using Delta Lake and Lakehouse architecture.
- Develop and optimize ETL/ELT pipelines using Talend for large-scale data ingestion and transformation.
- Work with Hadoop ecosystem technologies for distributed data processing and storage.
- Integrate data from multiple sources including databases, APIs, files, and streaming platforms.
- Build and manage data orchestration workflows using Azure Data Factory (ADF).
- Optimize Spark jobs, Databricks clusters, and data pipelines for performance and cost efficiency.
- Implement data quality, validation, security, and governance practices.
- Collaborate with architects, business stakeholders, and data teams to understand requirements and deliver technical solutions.
- Participate in code reviews, technical discussions, and implementation of engineering best practices.
- Work with DevOps teams on CI/CD and deployment automation for data engineering solutions.
- Troubleshoot and resolve data pipeline and production issues.
Qualifications
- 6 to 8 years of experience in Data Engineering / Big Data Engineering.
- Strong hands-on experience with Azure Databricks and PySpark.
- Strong experience with Hadoop and its ecosystem.
- Hands-on experience with Talend for ETL/data integration.
- Good experience with Delta Lake / Lakehouse architecture.
- Solid experience with Azure Data Factory (ADF).
- Strong SQL and data transformation skills.
- Understanding of cloud-based data engineering and data integration concepts.
- Exposure to CI/CD and DevOps practices.
- Knowledge of data governance and security.
- Exposure to data engineering solutions supporting AI/ML workloads.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Senior Azure Data Engineer | 7+ Years | Bangalore (India) at Apexon?
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- Is Senior Azure Data Engineer | 7+ Years | Bangalore (India) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior Azure Data Engineer | 7+ Years | Bangalore (India) role at Apexon?
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