Remote AWS Big Data Architect

Description:

• GAMA-1 Technologies, LLC is seeking a remote experienced and highly motivated Cloud Big Data Expert with experience in AWS and data lake technologies to join their team.
• The successful candidate will support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS).
• The role focuses on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Responsibilities include designing and implementing scalable and efficient data pipelines using AWS and Data Lakehouse Platform services.
• The candidate will leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others for advanced data processing and analytics.
• Collaboration with cross-functional teams to understand business needs and translate them into technical solutions is essential.
• The role involves developing and maintaining data lakes and data warehouses on AWS and Data Lakehouse Platform, ensuring data integrity and accessibility.
• The candidate will optimize data storage and processing for performance and cost efficiency, automate data workflows, and ensure high data quality and reliability.
• Monitoring, troubleshooting, and resolving data pipeline issues is a key responsibility.
• The role requires organizing and managing data within the environment, ensuring efficient, secure storage that supports easy access and analysis.
• The candidate will ensure high standards of data quality and implement data governance practices while staying current with emerging trends and technologies.
• Ongoing support for the platform, troubleshooting issues, and ensuring high availability and reliability of data infrastructure is required.
• Documentation for the platform infrastructure and processes must be created, and training for team members or users on the platform is necessary.
• The candidate will set up, configure, implement, and maintain the data lake and respective tools.

Requirements:

• A minimum of 5 years’ experience in big data analytics, data engineering, or related roles is required.
• Experience in designing, building, and maintaining data warehouses is essential, along with an understanding of data modeling, data warehousing, and data lake concepts.
• Proficiency in programming languages such as Python, Java, Scala, and scripting languages like Bash or PowerShell is necessary.
• Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others is required.
• Hands-on experience with AWS services such as S3, Glue, Redshift, EMR, Athena, etc., is essential.
• Proficiency in SQL and experience with relational databases is required.
• The candidate must have experience in building and optimizing big data pipelines, architectures, and data sets.
• Familiarity with ETL tools, processes, and data integration techniques is necessary.
• Excellent communication and team collaboration skills are required.
• An AWS Certification is mandatory.
• The candidate must be able to obtain a security clearance.
• A BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics, or a related field is required.

Benefits:

• GAMA-1 offers a generous and competitive benefits package, including medical, dental, prescription, and vision insurance with shared costs.
• A 401k retirement plan with up to a 4% company match is provided.
• Employer-sponsored life insurance and short and long-term disability insurance are included.
• Voluntary life insurance, basic life, and AD&D for employees and dependents are available.
• Professional development opportunities with tuition and training reimbursement are offered.
• An employee recognition program is in place.
• Identity theft insurance and pet insurance are provided.
• Direct deposit is available for payroll.
• An employee referral program is in place.
• Metro, parking, and transportation subsidies are offered.
• A generous paid time off program and paid annual holidays are included.
• Telework options are available for many positions.
• Periodic company social events and team-building events are organized.