Job Title: Big Data Engineer(US Citizens Only)

Location: Remote

We are currently seeking candidates who meet the following qualifications:

• Design, develop, and maintain big data pipelines for collecting, storing, processing, and analyzing large datasets.
• Implement and optimize ETL/ELT processes to ensure efficient data integration and transformation.
• Build and maintain data storage solutions such as data lakes, warehouses, and distributed storage systems.
• Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver data solutions.
• Optimize data workflows for performance, scalability, and cost efficiency.
• Ensure data security, governance, and compliance with industry standards.
• Monitor and troubleshoot data pipelines and systems to ensure reliability and uptime.
• Stay up-to-date on emerging big data technologies and best practices.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Experience as a Data Engineer or Big Data Engineer.
• Hands-on experience with big data frameworks such as Apache Hadoop, Spark, or Flink.
• Proficiency in programming languages like Python, Java, or Scala for data engineering tasks.
• Strong understanding of distributed computing principles.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their big data services (e.g., EMR, Databricks, BigQuery).
• Proficiency in working with data storage technologies such as HDFS, Apache Hive, Apache HBase, Cassandra, or Snowflake.
• Expertise in SQL and database technologies for querying and managing data.
• Familiarity with streaming data technologies like Apache Kafka, Kinesis, or Pulsar.
• Knowledge of data modeling and designing efficient data architectures.
• Experience with data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Federal Experience is a plus.
• Required Security clearance.
  
  If you meet these qualifications, please submit your application via link provided in Linkedin.
  Kindly do not call the general line to submit your application.