We are looking for an experienced Senior Big Data Developer to
design, implement, and optimize our big data solutions. The ideal candidate will have a
strong background in software engineering and a deep understanding of big data
technologies. This role involves working with cross-functional teams to manage and
analyze vast amounts of data, providing valuable insights that drive strategic decisions.
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Location: Remote
Job Type: Contract
Key Responsibilities:
Design, develop, and maintain robust and scalable big data solutions using Hadoop, Spark, and other big data technologies.
Implement data processing pipelines to ingest, clean, transform, and store large datasets.
Optimize performance of data systems to ensure efficiency and scalability.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
Develop and enforce data governance and security protocols.
Mentor junior developers and contribute to the continuous improvement of development processes.
Troubleshoot and resolve data processing issues in a timely manner.
Stay updated with the latest trends and advancements in big data technologies.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in big data development.
Strong proficiency in Hadoop, Spark, Kafka, and related big data technologies.
Extensive experience with programming languages such as Java, Scala, and Python.
Proficiency in SQL and NoSQL databases.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong problem-solving skills and ability to work with complex datasets.
Excellent communication and teamwork abilities.
Proven track record of delivering high-quality big data solutions in a fast-paced environment.
Preferred Skills:
Experience with data warehousing solutions like Redshift, BigQuery, or Snowflake.
Familiarity with containerization technologies such as Docker and Kubernetes.
Knowledge of machine learning and data analytics techniques.
Understanding of DevOps practices and CI/CD pipelines.
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