Data Engineer
Altice USA
Job Description
About the Role
Data Engineer We are looking for a talented Data Engineer to join our Data Engineering team at Optimum Media, an Altice USA company. Optimum Media is an innovative multiscreen advertising sales and media consultancy business servicing small to medium businesses as well as national, political, media & entertainment, and agency clients across the United States. Our team includes Sales Executives, Software Engineers, Data Analysts, Ad Operations, Marketing Professionals, Product Managers, and more. The role involves designing and developing frameworks, tools, and processes for reliably ingesting and processing large volumes of data, improving data pipelines, and supporting analytics, product, and operations teams.
Key Responsibilities
- Hands-on SQL coding experience and the ability to write advanced queries for data structuring and job processing
- Demonstrated experience working with large relational databases and an advanced understanding of data warehouse operations (Google BigQuery, Redshift, or other MPP database)
- Python-based script programming for process automation
- Hands-on experience working with Apache Airflow (Cloud Composer), Rest APIs
- Proficiency with Linux environments and bash scripting
- ELT and ETL jobs scheduling using cron
- Understanding streaming and batch processing paradigm
- Good knowledge of cloud providers like Google Cloud, AWS or Azure
- Proficient understanding of code versioning tools and code repositories such as GIT (Bitbucket)
- Ability to communicate with analytics engineers and data science teams to provide data processing and scripting solutions for projects on short timescales
- Discipline in documenting processes and architecture/infrastructure development
- Problem-solving mindset
Requirements
- Bachelor's /Master's Degree in Computer Science, Computer Engineering, Information Science, Mathematics or related field or equivalent job experience
- 2+ years of experience with SQL, relational databases, and data warehouses
- 2+ years of experience of engineering knowledge in data processing
- 2+ years of experience with Python scripting
- Must have experience in cloud-based technologies (AWS, GCP, Azure)
- Experience with Bash or similar scripting in Linux environments
- Experience creating documentation and architecture diagrams
- Demonstrated experience using both schema-driven and schema-free cloud-based storage solutions and platform implementation in a technical and analytical role
- Experience with benchmarking/tuning for performance across different platforms
- Familiarity with tools designed for efficiently transferring bulk data and parallel processing of data stored across data environments
Nice to Have
- Experience working with Snowflake-data driven warehouses
- Experience creating, debugging and performance optimizing with PySpark jobs (Glue jobs, Serverless PySpark on GCP)
- Experience with distributed data technologies (Hadoop, HDFS, Spark, Apache Beam)
- Experience creating, debugging and performance optimizing with DataFlow jobs (Apache Beam)
- Any data science experience
Qualifications
- Educational background in Computer Science, Computer Engineering, Information Science, Mathematics or related field
- Experience with SQL, relational databases, data warehouses, and data processing
- Experience with Python scripting and cloud technologies (AWS, GCP, Azure)
Benefits & Perks
- Salary range of $83,538.00 - $137,241.00 per year, competitive and based on skills and experience
Working at Altice USA
We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by law. The company values diversity and inclusion and emphasizes a commitment to fair employment practices.
Job Details
Job Skills
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About Altice USA
Website
alticeusa.com
Company Size
10000+ employees
Location
Long Island City, NY
Industry
Management of Companies and Enterprises
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