Big Data Developer
- TekJobs
215 Days Ago
NA
NA
Remote
5-17 Years
Required Skills: Java, Scala, Python,
Job Description
Job Title: Big Data Developer
Location: United States
Job Type: Full-time, On-site
Visa Sponsorship: H1B
We seek qualified candidates for an on-site role in [United States]. H1B sponsorship is available for this position.
If you are interested, please submit your application.
Job Summary:
We are looking for a skilled and innovative Big Data Developer to design, develop, and optimize data pipelines and storage solutions for large-scale data processing. The ideal candidate will have a strong background in Big Data technologies, a passion for solving complex data challenges, and the ability to work in a fast-paced environment.
Key Responsibilities:
• Design and implement scalable and reliable data pipelines using Big Data technologies.
• Develop, test, and maintain data processing applications for large datasets.
• Work with data architects and analysts to define and implement data solutions that meet business requirements.
• Optimize and monitor the performance of data workflows and troubleshoot issues as they arise.
• Build and maintain data models and databases for efficient data storage and retrieval.
• Integrate structured and unstructured data from diverse sources, including APIs, data streams, and third-party systems.
• Ensure data security and compliance with relevant regulations and standards.
• Stay updated on the latest Big Data trends and technologies to recommend improvements and new tools.
Required Skills and Qualifications:
• Proficiency in Big Data technologies such as Hadoop, Spark, Hive, and Kafka.
• Strong programming skills in languages such as Java, Scala, or Python.
• Experience with distributed computing and parallel processing.
• Solid understanding of data modeling, ETL processes, and data warehousing.
• Familiarity with cloud-based data solutions such as AWS (EMR, Redshift), Azure (Databricks, HDInsight), or Google Cloud Platform (BigQuery).
• Hands-on experience with SQL and NoSQL databases.
• Knowledge of version control tools like Git and workflow management tools like Apache Airflow.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
Preferred Qualifications:
• Experience with real-time data processing frameworks like Apache Flink or Storm.
• Knowledge of machine learning frameworks and data science practices.
• Familiarity with DevOps principles and CI/CD pipelines.
Educational Requirements:
• Bachelor’s degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
