Data Engineer

Role & responsibilities

• Offers/ Pipelines

Required Skills & Experience:

• Cloud Technologies (AWS)

  :
• Strong technical expertise with

  AWS

  services, specifically

  Redshift

  and

  Airflow

  for data engineering and orchestration.
• Hands-on experience in

  Redshift

  for data warehousing and optimization.
• Familiarity with

  AWS

  services like

  S3

  ,

  EC2

  ,

  Lambda

  , and

  Glue

  .

• Data Engineering & ETL/ELT Processes

  :
• Solid understanding of

  ETL

  (Extract, Transform, Load) and

  ELT

  (Extract, Load, Transform) processes.
• Experience in building scalable and efficient data pipelines to handle large-scale data processing using

  Airflow

  for orchestration.
• Proficiency in SQL for querying and manipulating data in data warehouses, including

  Redshift

  .

• Data Warehousing & Data Modeling

  :
• Strong background in

  data warehousing

  concepts and best practices.
• Experience in

  data modeling

  , including designing and implementing schema for data warehousing solutions.

• DataVault Knowledge (Good to Have)

  :

• DataVault

  methodology knowledge is a plus. Understanding how to build scalable and flexible data models using the

  DataVault

  approach.

• Telecom Domain Expertise

  :
• Prior experience working in the

  Telecom

  industry is a significant advantage. Familiarity with Telecom data, network operations, and relevant business processes.

• Incident Resolution & Production Support

  :
• Ability to work in

  production support

  environments, resolve incidents, and troubleshoot data pipeline failures or data quality issues.
• Flexibility to work during

  European Shift timings

  (till 9:30 PM/10:30 PM IST).

• Programming & Scripting

  :

• Strong Python

  skills for automation, data processing, and integration tasks.
• Experience with

  Airflow

  core concepts, operators, and building workflows for data pipeline orchestration.

• Agile Methodologies

  :
• Comfortable working in an

  Agile environment

  , participating in sprint cycles, and contributing to iterative development.

• Communication & Customer Skills

  :
• Excellent communication skills with the ability to interact with stakeholders and customers.
• Ability to translate technical concepts into business-friendly language and manage customer expectations.

Preferred candidate profile