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We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a “Data Engineer”, but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

• Lead and architect migration of data environments with performance and reliability.
• Assess and understand the ETL jobs, workflows, BI tools, and reports.
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products.
• Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
• Key must have skill sets – Python, AWS.
• Support an Agile software development lifecycle.
• You will contribute to the growth of our Data Exploitation Practice!

Qualifications:

QUALIFICATIONS

• Ability to hold a position of public trust with the US government.
• 8+ years industry experience coding commercial software and a passion for solving complex problems.
• 8+ years direct experience in Data Engineering with experience in tools such as:
• Big data tools: Hadoop, Spark, Kafka, etc.
• Relational SQL and NoSQL databases, including Postgres and Cassandra
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• AWS cloud services: EC2, EMR, RDS, Redshift
• Data streaming systems: Storm, Spark-Streaming, etc.
• Search tools: Solr, Lucene, Elasticsearch
• Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Amazon S3, Athena, Redshift Spectrum, AWS Glue, AWS Glue Catalog, AWS Functions, and Amazon EC2 with SQL Server Developer.
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
• Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience manipulating, processing, and extracting value from large, disconnected datasets.
• Experience manipulating structured and unstructured data for analysis.
• Experience constructing complex queries to analyze results using databases or in a data processing development environment.
• Experience with data modeling tools and process.
• Experience architecting data systems (transactional and warehouses).
• Experience aggregating results and/or compiling information for reporting from multiple datasets.
• Experience working in an Agile environment.
• Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.
• Experience with SAP.
• Must hold a current Public Trust clearance.

Please refer the Job description for details