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Data Engineer
Exponentia.ai
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Overview:
We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have hands-on experience with Databricks, Fabric, and PySpark to design, develop, and maintain scalable data pipelines and platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient data management and delivery.
Key Responsibilities:
- Design, build, and maintain data pipelines and ETL processes using Databricks , Fabric , and PySpark .
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that drive business value.
- Develop and optimize complex SQL queries and data workflows for large-scale data processing.
- Create and manage data lakes, data warehouses, and other data storage solutions.
- Implement best practices for data modeling, quality, and governance.
- Develop automation scripts for data integration and transformation using Python and PySpark .
- Build and optimize performance across various data processing workflows.
- Troubleshoot, debug, and optimize issues related to data pipeline performance and reliability.
- Ensure data security and compliance across systems.
- Provide technical leadership and mentorship to junior engineers and other team members.
- Stay up-to-date with new technologies and trends in data engineering and cloud computing.
Skill Qualification:
- 5-8 years of hands-on experience in data engineering, with significant expertise in Databricks , Fabric , and PySpark .
- Strong experience in building and optimizing large-scale data pipelines and workflows.
- Proficient in Python and SQL for data manipulation, integration, and analysis.
- Experience with Azure Data Factory , Azure Synapse Analytics , and other cloud-based data services.
- Knowledge of data modeling, ETL frameworks, and best practices for data governance.
- Expertise in Databricks platforms for distributed data processing, data lake formation, and real-time analytics.
- Experience with cloud data storage and data warehousing (Azure, AWS, GCP).
- Familiarity with containerization technologies (Docker, Kubernetes) and CI/CD pipelines is a plus.
- Strong problem-solving skills, with the ability to optimize complex data systems and workflows.
- Excellent communication skills and ability to collaborate with cross-functional teams.
Employment Type: Full Time, Permanent
Read full job descriptionExponentia.ai Interview Questions & Tips
Prepare for Exponentia.ai Data Engineer roles with real interview advice
Top Exponentia.ai Data Engineer Interview Questions
Q1. How to do parallel processing in Talend with examples?
asked in
ETL Talend Developer interview
Q2. how your data migration experience will be helpful in bringing revenue for the company
asked in
Customer Success Manager interview
What people at Exponentia.ai are saying
Rating based on 6 Data Engineer
reviews
Anonymous · Other
in Mumbai
Likes
Amazing leadership, collaborative team, and a clear vision for the future. A perfect place for career growth!
- Salary - Good
+6 more
Dislikes
Nothing as of now.
Data Engineer salary at Exponentia.ai
reported by
36
employees
₹5
L/yr - ₹12.5
L/yr
7%
less
than the average Data Engineer Salary in India
View more details
What Exponentia.ai employees are saying about work life
based on 117 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Exponentia.ai Benefits
Submitted by Company
Job Training Health Insurance Flexible Leave Policy Learning and Development Benefit Programs Financial and Retirement Benefit Programs
Submitted by Employees
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Exponentia.ai Mumbai Office Location
Mumbai, Maharashtra Office
Headquarter
1207 DS Business Galleria, LBS Road, Kanjurmarg, Mumbai Maharashtra
Mumbai, Maharashtra
400078
400078
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