OB SUMMARY

- Charter is a major telecommunications firm providing connectivity services to millions of
- customers. As part of the Network Analytics team, the Sr Data Engineer role is crucial in
- building and maintaining the data infrastructure that supports Charter's enterprise
- networks. This position focuses on constructing robust ETL pipelines using Spark to ensure
- data availability and quality for analytics tasks. The role requires expertise in data
- engineering, leveraging AWS for scalable solutions and enhancing operational efficiency.
- Additionally, the position demands the ability to prioritize efforts, synthesize actionable
- insights, and effectively communicate findings to audiences with diverse agendas and varying levels of technical expertise.

MAJOR DUTIES AND RESPONSIBILITIES

- Design, develop, and maintain scalable ETL pipelines to ensure data quality and availability
- Implement monitoring and alerting solutions to ensure data pipeline reliability and performance
- Develop and manage deployment pipelines to facilitate continuous integration and
- delivery of data engineering solutions
- Manage and optimize data storage solutions, including Distributed file systems Relational databases
- Flat files External sources accessed via API
- Implement data integration solutions to support analytics and reporting needs
- Collaborate across teams to ensure data solutions align with existing production architectures and business requirements
- Provide technical leadership and guidance on data engineering best practices and methodologies
- Document and communicate data engineering processes and standards to business intelligence,
- data, and analytics professionals with varied backgrounds
- Continuously evaluate and improve data engineering tools and approaches to enhance performance and efficiency

REQUIRED QUALIFICATIONS





- Skills/Abilities and Knowledge Education
- Bachelor's degree (or relevant experience) in computer science, mathematics, statistics,
- physics, operations research, or other quantitatively-focused fields
- Related Experience Perform other duties as required Ability to read, write, speak, and understand English
- Robust communication and collaboration skills
- Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python
- Experience with Big Data tools, particularly Spark, and familiarity with Hadoop ecosystems
- Proficiency in building and managing ETL pipelines
- Experience with cloud platforms like AWS, including services such as S3, Lambda,

Redshift, and EMR

- Strong understanding of relational databases and SQL, and familiarity with NoSQLdatabases
- Knowledge of data architecture, data warehousing, and data marts
- Experience in implementing monitoring solutions and deployment pipelines for data applications
- Ability to work with distributed systems and manage data storage solutions
- Demonstrated ability and desire to continually expand skill set, and learn from and teach others
- Experience with Linux-based operating systems
- Knowledge of other relevant techniques such as text analysis and text mining

ECMS REQ ID

555952,555953

Project Location 1

KRNK | BANGALORE

Project Location 2

(No Value)

Project Location 3

(No Value)

Project Location 4

(No Value)

Delivery SPOC

Rajaneesh Maktala

Relevant Experience

6+Years

Mandatory skills

Scala, Python, Spark, ETL & AWS Services

Desired skills

Scala, Python, Spark, ETL & AWS Services

Domain (Industry)

Telecom

BGC (Before onboarding / After onboarding)

PostOB

Total Experience (Ex. 5-7 Years)

6+Years

BGC Details

Standard

BGC Vendor

Standard

Mode of Interview

Face to Face

WFO / WFH / Hybrid

Hybrid

Please enter shift timings

09:00 AM to 06:00 PM

Shift Timings

General

📌 Scala, Python, Spark, ETL & AWS Services_India (India)
🏢 OB SUMMARY Charter
📍 India