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1 week ago
We're seeking an experienced Data Engineer to join our team. This role will involve designing and building scalable data pipelines using PySpark and Python.
As a Data Engineer, you'll be responsible for developing, testing, and maintaining robust ETL workflows for structured and unstructured data. You'll work with data lakes and cloud platforms to manage big data solutions and collaborate with cross-functional teams to gather requirements and deliver data solutions.
You'll need strong hands-on experience in Python, proficiency in PySpark for large-scale data processing, and expertise in SQL for data querying and transformation. A solid understanding of Data Lake architectures is also essential.
In addition, you should have experience with any Cloud Platform (AWS or similar) and exposure to DevOps tools and CI/CD pipelines. Familiarity with Delta Lake, Apache Airflow, or similar orchestration tools is a plus.
This role offers the opportunity to work on large-scale cloud data projects and make a direct impact on client-driven, real-time data solutions.
Our organization operates through key business units: Enterprise IT, Cloud, Data, ERP, and Salesforce; Digital content and marketing solutions; Infrastructure, IoT, and managed services; Business consulting and enterprise transformation.
We deliver secure, high-performance, and scalable technology solutions to top-tier clients. With 20+ global data centers, we provide a stable environment for our employees to thrive.
The ideal candidate will have Level 1: 4yrs – 6 years of experience and Level 2: 6yrs – 15 years of experience. Shift Timing is 10:00 AM – 7:00 PM IST and Work Days are 5 Days a Week (Monday to Friday).
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