Job description

Job Duties:

• Build different types of data warehousing layers based on specific use cases
• Lead the design, implementation, and successful delivery of large-scale, critical, or difficult data solutions involving a significant amount of work
• Build scalable data infrastructure and understand distributed systems concepts from a data storage and compute perspective
• Utilize expertise in SQL and have a strong understanding of ETL and data modeling
• Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their business’s analytics and reporting
• Be proficient in at least one scripting/programming language to handle large volume data processing

BASIC QUALIFICATIONS
3+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL
Bachelors (BS/BE) in Computer Science or other quantitative field
Practical knowledge of data structures and complex algorithms with equivalent development skills to match.
Ability to design for performance, scalability, and availability
Demonstrated experience in SQL/NO-SQL and data modeling skills, as well as AWS technologies.
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design.

PREFERRED QUALIFICATIONS

Deep problem-solving skills and ability to resolve ambiguous requirements
Master’s degree in Computer Science, Computer Engineering or related field
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions

Proficiency with Apache Spark / Elastic Map Reduce and with a general purpose programing language like Java or Scala

Experience building complex, scalable, high-performance software systems that have been successfully delivered to customers.
Knowledge of batch and streaming architectures like Kafka, Kinesis, Flink, Storm, Beam

Job Type: Full-time

Salary: $40.00 - $42.00 per hour

Schedule:

• 8 hour shift

Experience:

• Data Engineer: 3 years (Required)
• SQL: 1 year (Required)
• AWS technologies.: 1 year (Required)

Work Location: Remote

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