Company Summary:

DISH Network Technologies India Pvt. Ltd is a technology subsidiary of Echo Star. Our organization is at the forefront of technology, serving as a disruptive force and driving innovation and value on behalf of our customers.

Our product portfolio includes Boost Mobile (consumer wireless), DISH TV (direct broadcast satellite), Sling TV (over-the-top service provider), Hughes (global satellite connectivity solutions) and Hughesnet (satellite internet).

Our facilities in India are some of Echo Star's largest development centers outside the U.S. As a hub for technological convergence, our engineering talent is a catalyst for innovation in multimedia network and communications development.

Echo Star does not charge any fees to job applicants or candidates at any point during the recruitment and hiring process. We strongly advise all individuals to be vigilant and disregard any unsolicited requests for payment or personal financial information related to an Echo Star employment opportunity.

Department Summary:

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our people play vital roles in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities:

• Evangelist for data engineering function leveraging big data processing framework.
• Creation and optimization of data engineering pipelines for analytics projects.
• Support data and cloud transformation initiatives
• Support our software engineers and data scientists
• Contribute to our cloud strategy based on prior experience
• Understand the latest technologies in a rapidly innovative marketplace
• Independently work with all stakeholders across the organization to deliver enhanced functionality

Skills, Experience and Requirements

• Expereince of 5+ years in Big data with engineering background
• Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python with sound knowledge in shell scripting.
• Advanced SQL experience including SQL performance tuning
• Experience in writing spark streaming jobs integrating with streaming frameworks such as Apache Kafka or AWS Kinesis.
• Create and maintain automated ETL processes with special focus on data flow, error recovery, and exception handling and reporting
• Gather and understand data requirements, work in the team to achieve high quality data ingestion and build systems that can process the data, transform the data
• Experience working with external job schedulers such as Airflow etc.
• Experience in AWS services such as EMR, Glue (server less architecture), S3, Athena, IAM, Lambda and Cloud watch is required.

Benefits:

• Insurance and Wellbeing
• Financial & Retiral Benefit Program
• Mental Wellbeing
• Employee Stock Purchase Program (ESPP)
• Professional Development Reimbursement
• Time Off
• Team Outings

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Echo Star will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

Echo Star will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. Echo Star has a more detailed Accommodation Policy that applies to employees. Echo Star endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

• Evangelist for data engineering function leveraging big data processing framework.

• Creation and optimization of data engineering pipelines for analytics projects.

• Support data and cloud transformation initiatives

• Support our software engineers and data scientists

• Contribute to our cloud strategy based on prior experience

• Understand the latest technologies in a rapidly innovative marketplace

• Independently work with all stakeholders across the organization to deliver enhanced functionality

• Expereince of 5+ years in Big data with engineering background

• Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python with sound knowledge in shell scripting.

• Advanced SQL experience including SQL performance tuning

• Experience in writing spark streaming jobs integrating with streaming frameworks such as Apache Kafka or AWS Kinesis.

• Create and maintain automated ETL processes with special focus on data flow, error recovery, and exception handling and reporting

• Gather and understand data requirements, work in the team to achieve high quality data ingestion and build systems that can process the data, transform the data

• Experience working with external job schedulers such as Airflow etc.

• Experience in AWS services such as EMR, Glue (server less architecture), S3, Athena, IAM, Lambda and Cloud watch is required.