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Senior Big Data Specialist
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We are seeking an experienced Senior Data Engineer to lead the development and maintenance of large-scale data processing systems. The ideal candidate will have a strong background in designing, constructing, and optimizing complex data pipelines, as well as experience with cloud platforms and big data technologies.
Key Responsibilities- Data Pipeline Development: Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.
- Data Architecture: Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
- Optimization: Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
- Collaboration: Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.
- Data Quality: Ensure data quality, integrity, and security by implementing best practices in data governance and management.
- Education: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- Experience: 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems.
- Skills: Proficiency in SQL, experience with databases such as MySQL, PostgreSQL, or NoSQL databases, strong programming skills in languages such as Python, Java, or Scala, experience with ETL tools and frameworks and data pipeline orchestration, familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
- Remote Work: Opportunity to work remotely.
- Contract Type: Contract employment.
- Location: India.
- Duration: 1 year (with potential to be extended).
- Hours per Week: 40 (Full-time).
