Job Title: Big Data Engineer(US Citizens Only)
Location: Remote
We are currently seeking candidates who meet the following qualifications:
Responsibilities: - 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 uptodate on emerging big data technologies and best practices.
Qualifications: - Bachelors or Masters degree in Computer Science Data Engineering or a related field.
- Experience as a Data Engineer or Big Data Engineer.
- Handson 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 problemsolving 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.