Data Engineer II

Key Skills

Java Programming, Oracle, Design, Health and Safety, Python Programming, C++, Database, SQL, Big Data Technology, Apache Hadoop, Apache Kafka, Perl Programming, Apache Hive, Apache Airflow, Docker, Kubernetes-K8s, Apache Impala, Amazon Athena, Apache NiFi, LoadRunner, R Programming, MySQL, Amazon RedShift, Shell Scripting language, SPARK Programming, Lambda, AWS Kinesis, Large scale data processing, Transformer

Job Description

DISH is transforming the future of connectivity. We’re doing it by building the country’s first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it’s a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.

Job Duties and Responsibilities

A Data Engineer II with DISH Wireless will be directly working in environments supporting automated deployment and management on a cloud native environment. This role will work directly towards collecting, extracting, transforming and making available large amounts of data for observability, analysis, and increasing availability.

Day-to-day job responsibilities:

• Develop high-volume, low-latency, data-driven solutions utilizing current and next generation technologies to meet evolving business needs
• Acquire big data input from numerous partners. Key technologies may include Python, Airflow, Prometheus, and Kafka.
• Normalize complicated data sources to convert potentially unusable data into a format that can be efficiently used by software and/or employees. Key technologies may include Spark, Kinesis, Lambda
• Build a CI/CD pipeline for our data software to ensure we keep quality high and time to market low. Key technologies may include Gitlab.

Skills, Experience and Requirements

A successful Data Engineer II will have the following at a minimum:

• Bachelos'r degree in Computer Science, Computer Engineering, or a related technical degree
• 1 or more years experience in data streaming technologies, such as Kafka
• 1 or more years experience using ETL (Extract, Transform, and Load) concepts
• Experience with querying and designing databases using one or more of the following: MySQL, MS SQL, Oracle SQL, or other professional database system
• Ability to work in teams and collaborate with others to clarify requirements, quickly identify problems, and collaboratively find creative solutions
• Ability to assist in documenting requirements as well as resolve conflicts or ambiguities

Preferred qualification include:

• 3 or more years experience in programming using one or more of the following: Java, C++, Perl, Python, or advanced Shell scripting.
• 1 or more years of experience in implementing data-driven solutions using tools such as Hadoop, Impala, Hive, NiFi, Athena, Redshift, BigTable, or Airflow.
• 1 or more years experience in machine learning and statistical modeling
• Experience in Cloud Native tools, such as Kubernetes and Docker
• Experience with using the R statistical computing language
• Experience with Agile at Scale, SAFe, and Lean Systems Engineering