Data Engineer for Large-Scale Big Data Solutions
3 days ago
We are seeking an experienced data engineer to join our team at Alignity Solutions in Mumbai. The ideal candidate will have expertise in Apache Spark and Python programming, focusing on building scalable, high-performance data processing pipelines.
Job Description:The role of a PySpark Developer involves developing, testing, and maintaining large-scale data processing systems using PySpark and other big data technologies. This includes designing and implementing data pipelines to extract, transform, and load data from various data sources, ensuring scalability and reliability. Additionally, the successful candidate will work with cross-functional teams to understand requirements and provide solutions that meet business needs.
This position requires a strong understanding of data lake and data warehouse concepts and best practices, as well as knowledge of data partitioning, caching, and other optimization techniques in Spark. Experience with data orchestration tools (e.g., Apache Airflow) and NoSQL databases (e.g., Cassandra, MongoDB) is also preferred.
Requirements:- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 2+ years of hands-on experience in PySpark, Spark SQL, and Spark DataFrames.
- Proficiency in Python programming, with experience in data manipulation and processing.
- Strong knowledge of Apache Spark architecture and experience working with large datasets in a distributed environment.
This estimate is based on industry standards for a similar role in Mumbai, India. We offer competitive compensation and benefits packages to attract top talent.
Benefits:At Alignity Solutions, we value our employees' growth and well-being. Our benefits package includes:
- Competitive salary and bonuses.
- Opportunities for professional development and skill enhancement.
- A collaborative and dynamic work environment.
We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about big data engineering and eager to take on new challenges, please submit your application.
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