Job Summary:

We are seeking a highly motivated and skilled Big Data Developer to join our growing team. In this role, you will be responsible for designing, developing, and maintaining big data solutions using cutting-edge technologies. You will work with large datasets to extract valuable insights, build data pipelines, and develop scalable and high-performance data processing applications.

Key Responsibilities:

• Design, develop, and deploy big data solutions using technologies such as Hadoop, Spark, Hive, HBase, Kafka, and other related tools.
• Develop and maintain data pipelines for data ingestion, transformation, and loading (ETL/ELT).
• Perform data analysis and extract meaningful insights from large datasets.
• Build and optimize data models for data warehousing and data lakes.
• Develop and implement data quality checks and data governance policies.
• Collaborate with data scientists, data analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Stay abreast of the latest advancements in big data technologies and best practices.
• Troubleshoot and resolve big data system issues.

Required Skills and Experience:

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• [Number] years of professional experience in big data development.
• Strong proficiency in Java, Python, or Scala.
• Experience with big data technologies such as Hadoop, Spark, Hive, HBase, Kafka.
• Experience with SQL and NoSQL databases.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.

Desired Skills and Experience:

• Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with data streaming technologies (e.g., Flink, Spark Streaming).
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Contributions to open-source big data projects.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Work in a challenging and rewarding environment.
• Collaborative and supportive team culture.