FULL_TIME
2-5
Sr Data Engineer
10/7/2025
The Data Engineer will develop SSIS packages for data extraction and manage data pipelines. They will also create and maintain ETL processes to ensure efficient data flow and transformation.
Working Hours
40 hours/week
Company Size
501-1,000 employees
Language
English
Visa Sponsorship
No
About The Company
INT. (Indus Net Technologies) is an award-winning full-stack software engineering solutions company with a pioneering legacy spanning 27+ years, over 500 clients, and 11,000 plus client projects. Today, after an eventful journey of two and a half decades, INT. stands for innovation, trust, and sustainability.
We:
- Are constantly innovating and adapting to the new opportunities that the digital world presents
- Trust our clients, partners, employees and people-at-large
- Are committed to Sustainability, as everyone needs an anchor to rely on, in such a fast-changing and uncertain world
INT. operates at the confluence of AI and advanced analytics, technology, security, Customer Experience (CX), and marketing in the digital space.
About the Role
<div>We are seeking an experienced Data Engineer to join our team.</div><div><br>The ideal candidate will have a strong background in data engineering, with a focus on data extraction, transformation, and loading (ETL)<br>processes. They will be responsible for understanding data structures and databases, developing SSIS packages for data extraction from<br>Oracle and SQL Servers and managing data pipelines.</div><div><br>Key Responsibilities:<br>1. Data Structure and Database Understanding: Gain a comprehensive understanding of data structures and databases within the organization.<br>2. SSIS Package Development: Develop SSIS packages to schedule and automate data extraction from Oracle and SQL Servers.<br>3. ETL Process Development: Create and maintain ETL processes to ensure efficient data flow and transformation.<br>4. SQL Proficiency: Utilize SQL for data manipulation, querying, and optimization.<br>5. Data Pipeline Management: Manage and maintain existing data pipelines, ensuring data integrity and reliability.<br>6. Error Handling: Implement robust error handling strategies within batch services to ensure data accuracy and consistency</div>
Key Skills
Data EngineeringETL ProcessesSSISOracleSQL ServerSQLData PipelinesData IntegrityError Handling
Categories
TechnologyData & AnalyticsEngineering
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