AI Data Engineer
Riseflake.com
Job Description & Responsibilities
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AI Data Engineer
Symbiosis Eserve
Livefull-timeOn-site
Location
Bengaluru, Karnataka, India
Experience
5–8 years
Posted on
12 Sept 2026
Apply by 12 Oct 2026(28 days left)
Role at a glance
Openings
1
Experience
5–8 yrs
Salary
Confidential
Workplace
On-site
Eligibility
Open to all
Student status
Not specified
Location
Bengaluru, Karnataka, India
Categories
Data Engineer
Skills Required
MongoDBPower BIPythonSQLTableau
Benefits & Facilities
Certificate / Experience Letter Laptop / Equipment Provided Stipend / Salary Training and Mentorship
Job Description / Ai Overview
We are actively seeking an experienced and highly skilled Data Engineer to join our dynamic team. This is a crucial client-facing role for a professional with a strong background in data engineering, specifically leveraging Profisee MDM and Power BI. If you thrive on building robust data solutions and working directly with stakeholders, this opportunity in Bengaluru or Hyderabad offers a chance to make a significant impact on critical data initiatives within the BFSI/Banking sector.
As a Data Engineer, you will be instrumental in designing, developing, and maintaining scalable data pipelines and solutions, ensuring data quality and accessibility. You will collaborate closely with clients to understand their data requirements and translate them into effective technical strategies, primarily utilizing your expertise in Profisee and advanced Power BI. This role is perfect for a proactive individual looking to drive data excellence and deliver tangible business value.
Key Responsibilities
- Design, develop, and optimize robust data pipelines and ETL processes to support various business needs, ensuring data integrity and performance.
- Implement and manage Master Data Management (MDM) solutions using Profisee MDM and integrate data through Profisee APIs.
- Create, maintain, and enhance interactive dashboards and reports using Advanced Power BI to provide insightful data visualizations for stakeholders.
- Perform comprehensive data modeling, master data processing, and data quality checks to ensure accuracy and consistency across data sets.
- Collaborate directly with clients and internal teams to gather requirements, provide technical expertise, and deliver client-facing data engineering solutions.
- Write and optimize complex SQL queries for data extraction, transformation, and loading processes within various database environments.
- Troubleshoot and resolve data-related issues, ensuring the reliability and availability of data systems.
- Contribute to the continuous improvement of data engineering practices, tools, and methodologies.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related quantitative field.
- A minimum of 5-8 years of progressive experience in Data Engineering roles, with a proven track record of delivering successful data projects.
- At least 2 years of hands-on experience with Profisee MDM and Profisee API integration.
- Demonstrable expertise in Advanced Power BI for reporting, dashboard creation, and data visualization.
- Strong proficiency in Data Engineering principles, including ETL processes, data pipeline development, and data modeling.
- Expert-level SQL skills for querying, manipulating, and managing large datasets in various relational databases.
- Experience with other data technologies such as Python, PySpark, Tableau, and MongoDB is highly advantageous.
- Prior experience working in the BFSI (Banking, Financial Services, and Insurance) sector is preferred.
- Excellent communication and interpersonal skills, with the ability to engage effectively with client stakeholders and technical teams.
What We Offer
- An exciting opportunity to work on challenging client-facing projects in a fast-paced and innovative environment.
- Exposure to cutting-edge data technologies and a chance to specialize further in Profisee and Power BI.
- A collaborative culture that encourages continuous learning, professional development, and career advancement for a dedicated Data Engineer.
- The chance to make a tangible impact by providing critical data insights that drive business decisions for our clients.
- A competitive compensation package commensurate with experience and skills, along with the benefits of being part of a leading technology solutions provider.
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Posted by
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Posted on:
13 Sept 2026
About Riseflake.com
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