Role & responsibilities
Offers/ Pipelines

Job Description:

Required Skills & Experience:
Cloud Technologies (AWS):
Solid 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 effective 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 (Positive 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

📌 Data Engineer Hyderabad
🏢 Tekskills
📍 Hyderabad