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Senior Data Engineer (Python, AWS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Senior Data Engineer responsible for designing, implementing, and maintaining scalable data pipelines across cloud platforms (Azure, AWS, GCP) with a focus on ingestion, processing, and data quality. Collaborates with data scientists, engineers, and analysts to ensure data availability and integrity, leveraging ETL/ELT, data warehousing concepts, and event-driven architecture to enable analytics and decision-making.

Location: Romania

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Work with data engineers, scientists and analysts to understand data needs and create effective data pipelines.
•Design, implement, and maintain data pipelines for ingestion, processing, and transformation using cloud services and other technologies.
•Create and maintain data solutions mainly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, BigQuery) and rarely on-premise (Sql Server, Oracle, PostgreSQL).
•Implement data validation and cleansing procedures to ensure data quality, integrity and dependability.
•Improve the scalability, efficiency, and cost-effectiveness of data pipelines.

Pay and Benefits

Perks:Hybrid Work

Key Requirements

•Proficient in Python and SQL.
•Strong experience with Relational and ideally NoSQL databases.
•Knowledge of good data design principles (Kimball and Star Schema), data warehousing concepts and data modelling.
•Strong understanding of ETL/ELT processes.
•Exposure to data monitoring and observability tools.

Experience:Data and AI

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonSQLAzureAWSGCPRedshiftAuroraAthenaData FactoryBigQuerySQL ServerOraclePostgreSQL

Company Brief

Endava Technology

Industry: Consulting

Website

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Endava Technology

Recent

Senior Data Engineer (Python, AWS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Romania

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Work with data engineers, scientists and analysts to understand data needs and create effective data pipelines.
•Design, implement, and maintain data pipelines for ingestion, processing, and transformation using cloud services and other technologies.
•Create and maintain data solutions mainly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, BigQuery) and rarely on-premise (Sql Server, Oracle, PostgreSQL).
•Implement data validation and cleansing procedures to ensure data quality, integrity and dependability.
•Improve the scalability, efficiency, and cost-effectiveness of data pipelines.

Pay and Benefits

Perks:Hybrid Work

Key Requirements

•Proficient in Python and SQL.
•Strong experience with Relational and ideally NoSQL databases.
•Knowledge of good data design principles (Kimball and Star Schema), data warehousing concepts and data modelling.
•Strong understanding of ETL/ELT processes.
•Exposure to data monitoring and observability tools.

Experience:Data and AI

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonSQLAzureAWSGCPRedshiftAuroraAthenaData FactoryBigQuerySQL ServerOraclePostgreSQL

Company Brief

Endava Technology

Industry: Consulting

Website