- 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 (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
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