Big Data Solutions Architect Position
5 days ago
At DISH Network, we're reimagining the future of connectivity. As a Big Data Solutions Architect, you'll play a vital role in connecting consumers with the products and platforms of tomorrow.
Key Responsibilities:
- Design and deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks
- Optimize data engineering and machine learning pipelines to drive business growth
- Review architectural designs to ensure consistency and alignment with defined target architecture and adherence to established architecture standards
- Support data and cloud transformation initiatives to drive innovation
- Contribute to our cloud strategy based on prior experience and expertise
- Stay up-to-date with the latest technologies in a rapidly innovative marketplace
- Collaborate with stakeholders across the organization to deliver point and strategic solutions
- Assist solution providers with the definition and implementation of technical and business strategies
Requirements:
- Bachelor's Degree in a technical field
- 12 years of experience working as a Data Warehouse/Big Data Architect
- Experience in AWS cloud transformation projects is required
- Telecommunication domain experience is preferred
Skills and Qualifications:
- AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloudwatch, and Data Pipeline
- Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting
- Logical & physical table design in Big Data environments to suit processing frameworks
- Functional programming and Spark SQL programming dealing with processing terabytes of data
- Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage
- Advanced SQL experience including SQL performance tuning is a must
- Big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena
- Knowledge of using, setting up, and tuning resource management frameworks such as Yarn, Mesos, or standalone spark
- Knowledge in a variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/Postgres, MongoDB
Compensation:
$146,300.00/Year - $209,000.00/Year
Benefits:
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
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