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The Senior Data Engineer will build and optimize data pipelines using Python, Scala, and PySpark for data extraction, transformation, and loading into data lakes/warehouses. Responsibilities include designing efficient pipelines with AWS services, ensuring data quality, and collaborating with data scientists and analysts.
Company Summary
DISH Network Technologies, an EchoStar Company, has been reimagining the future of connectivity for more than 40 years. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America's First Smart Network™.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
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
- Build Data Pipelines using Python, Scala and PySpark to extract, transform, and load data from various sources into our data lake/data warehouse. (preferably in Databricks)
- Design, build, and maintain efficient data pipelines using AWS services such as S3, Lambda, EMR, cloudwatch, sns, sqs and others.
- Optimize and tune data pipelines for performance and reliability.
- Implement data quality and validation processes to ensure high-quality data.
- Work closely with data scientists and analysts to understand data requirements and provide scalable solutions.
- Monitor and troubleshoot data infrastructure and pipelines in production.
Skills, Experience and Requirements
- 4+ years as a Data Engineer in the wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management etc.
- Strong proficiency with AWS cloud services for data engineering.
- Experience with Databricks for data processing and analytics.
- Proficiency in Python and Scala for scripting and data manipulation.
- Solid understanding of distributed computing principles and experience with big data frameworks such as PySpark.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience
- Strong problem-solving skills and attention to detail.
- Strong agile experience with scrum
- Excellent communication and collaboration skills.
Benefits
- Employee Stock Purchase
- Term Insurance
- Accident Insurance
- Health Insurance
- Training Reimbursement
- Gratuity
- Mobile and Internet Reimbursement
- Team Outings
Top Skills
Python
Scala
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
