Persistent Is Hiring Data Engineer in Bengaluru – Apply Now
About the Opportunity
Persistent Data Engineer Jobs offer an opportunity for professionals with 2 to 5 years of experience to work on modern data engineering solutions in Bengaluru. Persistent is hiring a Data Engineer for a full-time position involving databases, cloud data platforms, data integration, data pipelines, and modern data architecture.
The position is designed for professionals who can work with large and complex data environments and contribute to reliable and scalable solutions. The selected candidate will be involved in different stages of the data lifecycle, including ingestion, transformation, storage, processing, and analytics.
The job description places significant emphasis on SQL, database performance, cloud data warehouses, ETL/ELT workflows, and cloud technologies. Candidates may work with platforms such as Snowflake, BigQuery, Amazon Redshift, Azure SQL, Apache Airflow, Azure Data Factory, AWS Glue, and Databricks.
Persistent describes itself as an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner. According to the provided company information, Persistent has more than 27,500 global team members across 18 countries and works with organizations across multiple industries.
The position can be relevant to Data Engineers who already have professional experience in data warehousing, cloud environments, database systems, and enterprise data integration.
| Job Detail | Information |
|---|---|
| Company | Persistent |
| Job Role | Data Engineer |
| Job ID | 182263 |
| Location | Bengaluru |
| Job Type | Full-Time Employment |
| Qualification | Not Specified |
| Experience | 2 to 5 Years |
| Salary | Not Disclosed |
| Work Mode | Not Specified |
| Date Posted | Not Specified |
| Last Date to Apply | Not Specified |
What the Candidate Will Do
The selected candidate will contribute to the development and maintenance of data solutions used across different workloads.
The main responsibilities include:
Develop and optimize complex SQL queries, stored procedures, CTEs, window functions, and database objects.
Analyze execution plans and apply indexing and partitioning techniques to improve database performance.
Build scalable pipelines for data ingestion, transformation, and analytics workloads.
Design data architectures covering ingestion, storage, processing, and compute layers.
Work with cloud data warehouses including Snowflake, BigQuery, Amazon Redshift, and Azure SQL.
Develop data solutions across AWS, Azure, and GCP environments.
Integrate structured, semi-structured, and unstructured data sources.
Create and manage ETL/ELT workflows using Airflow, Azure Data Factory, AWS Glue, Databricks, or similar platforms.
Automate processes to improve reliability and reduce manual intervention.
Support data quality, governance, security, compliance, and data lineage requirements.
Work with Data Analysts, Data Scientists, Product Managers, and business stakeholders.
Translate business requirements into maintainable technical solutions.
Monitor and troubleshoot pipelines, workflows, databases, and platform health.
Participate in architecture reviews and data platform modernization initiatives.
Mentor junior engineers and contribute to technical standards.
Prepare technical documentation, architecture diagrams, operational runbooks, and deployment guides.
Skills Candidates Should Have
Technical Skills
Candidates should have strong SQL knowledge and practical experience working with relational databases. The role requires familiarity with complex queries, stored procedures, CTEs, window functions, and query optimization.
Database performance knowledge is also important. Candidates should understand execution plans, indexing strategies, and partitioning and be able to investigate performance-related issues.
Experience with cloud data warehouses such as Snowflake, BigQuery, Amazon Redshift, and Azure SQL is relevant. The position also calls for knowledge of cloud environments across AWS, Azure, and GCP.
Candidates should understand ETL/ELT concepts and have experience with workflow orchestration or data integration tools. The job description mentions Apache Airflow, Azure Data Factory, AWS Glue, and Databricks, or similar platforms.
Professional Skills
The role requires analytical and troubleshooting abilities because the selected candidate will need to investigate issues affecting databases, workflows, pipelines, and data platforms.
Good communication and stakeholder management skills are also relevant. The Data Engineer will collaborate with both technical and business teams to understand requirements and develop suitable solutions.
Candidates should be comfortable working in Agile delivery environments. Experience mentoring junior engineers and promoting engineering best practices is also mentioned in the requirements.
What to Highlight in Your Resume
Candidates applying for this opportunity should create a resume that clearly connects their previous experience with the responsibilities of the position.
Instead of listing every technology separately, describe relevant projects and explain what you contributed to. For example, candidates with database experience can mention the type of database environment they worked with, the nature of the queries they developed, and any genuine performance improvements they achieved.
Candidates with pipeline experience can describe the type of data sources involved, the processing stages, and the tools used to build or monitor the workflow.
Relevant areas to highlight include:
SQL development and query optimization
Database performance and troubleshooting
Cloud data warehouse projects
ETL/ELT pipeline development
Data integration
Data modeling and warehousing
Python-based data processing
Cloud data engineering
Data quality and governance
Monitoring and operational support
Data platform modernization
Where measurable results are available, candidates can include them in their project descriptions. Actual figures such as reduced processing time or improved pipeline performance can provide useful context.
Candidates should only mention technologies and responsibilities that accurately represent their experience.
Why This Role May Be Relevant to Candidates
This Data Engineer position covers several areas of enterprise data engineering rather than focusing on a single technology. The responsibilities connect database development with cloud platforms, data integration, pipeline engineering, and modern data architecture.
The role may therefore be relevant to professionals who already have experience working with business data and want exposure to broader data engineering environments.
The company information supplied with the vacancy also lists several employee development and workplace benefits. These include quarterly growth opportunities, company-sponsored higher education and certifications, flexible work hours, employee engagement initiatives, annual health check-ups, and insurance coverage for eligible employees and family members.
Persistent also states that it supports hybrid work and flexible hours. However, the specific work mode for this particular vacancy is not specified in the provided job information.
Application Process
Candidates can use the application link provided below to submit their applications. Review the complete job requirements and application details on the employer’s careers page before applying.
Related Jobs
Frequently Asked Questions
Q1. What is the main focus of this Data Engineer position?
The position focuses on developing scalable data solutions involving databases, cloud platforms, pipelines, integration, and data architecture.
Q2. Where is the Persistent Data Engineer position located?
The position is located in Bengaluru.
Q3. How much experience is required?
The job description requires 2 to 5 years of experience in Data Engineering, Data Warehousing, or related fields.
Q4. Which technical skills are mentioned?
The requirements include SQL, databases, cloud data warehouses, AWS, Azure, GCP, ETL/ELT, Python, and data integration technologies.
Q5. Which cloud data warehouses are listed?
Snowflake, BigQuery, Amazon Redshift, and Azure SQL are mentioned in the job description.
Q6. Which pipeline tools are mentioned?
Apache Airflow, Azure Data Factory, AWS Glue, and Databricks are listed.
Q7. Is the salary disclosed?
No, the salary is not disclosed in the provided job description.
Q8. Is the work mode specified?
No, the specific work mode for this vacancy is not specified.
Q9. What is the job ID?
The job ID is 182263.
Q10. How can candidates apply?
Candidates can click Apply Now and complete the application through the Persistent careers page.