Sr. Data Engineer (10+ yrs) - Multiple Openings
Looking for 3 Data Engineer - hybrid to Plano
Location : Reston/Plano ( In Person Interview & 2 Days Hybrid to FM Office)
Minimum Required Experiences:
7+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR, Cloudwatch, RDS, Lambda, SNS, SWS etc.)
5+ years of Python, SQL, SparkSQL, PySpark
Excellent problem-solving skills and strong verbal & written communication skills
Ability to work independently as well as part of an agile team (Scrum / Kanban)
Identify customer needs and intended use of requested data in the development of database requirements and support the planning and engineering of enterprise databases.
Maintain comprehensive knowledge of database technologies, complex coding languages, and computer system skills.
Support the integration of data into readily available formats while maintaining existing structures and govern their use according to business requirements.
Analyze new data sources and monitor the performance, scalability, and security of data.
Create an initial analysis and deliver the user interface (UI) to the customer to enable further analysis.
4+ years experience with Big Data Hadoop clusters, AWS, and Python
Knowledge of Spark streaming technologies
Experience in working with agile development teams
Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)
Knowledge of Environmental, Social, and Corporate Governance (ESG)
Skills
Skilled in cloud technologies and cloud computing
Programming including coding, debugging, and using relevant programming languages
Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
Tools
Skilled in AWS Analytics such as Athena, EMR, or Glue
Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
Skilled in SQL
Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
Skilled in Python object-oriented programming