Senior Data Processing Specialist

6 days ago

Pune Chennai Hyderabad Secunderabad Telangana, India beBeeDataEngineering Full time ₹ 12,00,000 - ₹ 30,00,000
Job Description

We are seeking a skilled Data Engineering Professional to drive the development of robust data processing and transformation solutions. You will be responsible for designing, implementing, and maintaining applications to handle complex data processing tasks, ensure data quality, and integrate with diverse data sources.

The ideal candidate possesses strong skills in data processing, experience with big data technologies, and the ability to work in a fast-paced, data-driven environment.

Required Skills and Qualifications
  • Data Engineering Development:
    • Design, develop, and test applications to process, transform, and analyze large-scale datasets from various sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
    • Implement efficient data transformation and aggregation using relevant frameworks.
    • Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience within applications.
    • Optimize applications for performance, including partitioning, caching, and tuning of configurations.
  • Data Analysis and Transformation:
    • Collaborate with data analysts, data scientists, and data architects to understand data processing requirements and deliver high-quality data solutions.
    • Analyze and interpret data structures, formats, and relationships to implement effective data transformations.
    • Work with distributed datasets in data processing environments, ensuring optimal performance for large-scale data processing and analytics.
  • Data Integration and ETL:
    • Design and implement processes to ingest and integrate data from various sources, ensuring consistency, accuracy, and performance.
    • Integrate applications with data sources such as SQL databases, NoSQL databases, data lakes, and streaming platforms.
  • Qualifications and Skills:
    • Bachelor's degree in Computer Science, Information Technology, or a related field.
    • 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
    • Strong understanding of data processing principles, techniques, and best practices in a big data environment.
    • Proficiency in programming languages and related technologies for data processing, analysis, and integration.
    • Experience with ETL development and data pipeline orchestration tools.
    • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
    • Excellent communication and collaboration skills to work effectively with team members.

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