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CY iT HR
@cyprusithr · supergroup
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Veronika
Veronika
2025-08-25 13:00 UTC
#vacancy #fulltime #openposition #job #itcareer #engineer #aws #itjob #azure
Looking for Data Engineer
Level: Senior
Location: Europe
Employment Type: Full-Time
English: B2
Contact: @svidinskaya
Job Overview:
We are looking for an experienced and driven Senior Data Engineer to join our growing data team. With 7–8 years of hands-on experience, the ideal candidate will bring strong technical skills in AWS, Azure, Python, and database systems, along with a proven track record of building and managing scalable ETL processes that handle large volumes of data—millions of records daily.
Key Responsibilities:
Design, develop, and maintain scalable, and reliable ETL pipelines for processing large-scale datasets.
Build adata infrastructure on AWS and Azure, ensuring performance, scalability, and cost-effectiveness.
Develop and optimize data models and schemas for analytics and reporting.
Work closely with analysts, and other stakeholders to understand data needs and deliver solutions.
Ensure high standards of data quality, integrity, and security throughout the data lifecycle.
Monitor data pipeline performance and resolve bottlenecks and data issues proactively.
Document processes and solutions, and contribute to continuous improvement efforts across the team.
Required Qualifications:
7–8 years of experience in data engineering or related roles.
Advanced proficiency in Python for data processing (e.g., using Pandas, PySpark).
Strong experience with AWS services (e.g., S3, Glue, Redshift, Lambda) and Azure components (e.g., Data Factory, Synapse, Blob Storage).
Expertise in SQL and experience with relational databases such as SQL Server.
Demonstrated experience building ETL processes that process millions of records efficiently.
Solid understanding of data architecture, performance tuning, and data governance practices.
Excellent communication, collaboration, and problem-solving skills.
Preferred Qualifications:
Experience working in enterprise-scale environments with diverse data sources.
Familiarity with big data tools (e.g., Spark) and distributed processing.
Start: ASAP
Duration: Long-term (exact timeline will be known soon)
Additional note: This position will require at least 4-5 hours overlap with EST time zone
Looking for Data Engineer
Level: Senior
Location: Europe
Employment Type: Full-Time
English: B2
Contact: @svidinskaya
Job Overview:
We are looking for an experienced and driven Senior Data Engineer to join our growing data team. With 7–8 years of hands-on experience, the ideal candidate will bring strong technical skills in AWS, Azure, Python, and database systems, along with a proven track record of building and managing scalable ETL processes that handle large volumes of data—millions of records daily.
Key Responsibilities:
Design, develop, and maintain scalable, and reliable ETL pipelines for processing large-scale datasets.
Build adata infrastructure on AWS and Azure, ensuring performance, scalability, and cost-effectiveness.
Develop and optimize data models and schemas for analytics and reporting.
Work closely with analysts, and other stakeholders to understand data needs and deliver solutions.
Ensure high standards of data quality, integrity, and security throughout the data lifecycle.
Monitor data pipeline performance and resolve bottlenecks and data issues proactively.
Document processes and solutions, and contribute to continuous improvement efforts across the team.
Required Qualifications:
7–8 years of experience in data engineering or related roles.
Advanced proficiency in Python for data processing (e.g., using Pandas, PySpark).
Strong experience with AWS services (e.g., S3, Glue, Redshift, Lambda) and Azure components (e.g., Data Factory, Synapse, Blob Storage).
Expertise in SQL and experience with relational databases such as SQL Server.
Demonstrated experience building ETL processes that process millions of records efficiently.
Solid understanding of data architecture, performance tuning, and data governance practices.
Excellent communication, collaboration, and problem-solving skills.
Preferred Qualifications:
Experience working in enterprise-scale environments with diverse data sources.
Familiarity with big data tools (e.g., Spark) and distributed processing.
Start: ASAP
Duration: Long-term (exact timeline will be known soon)
Additional note: This position will require at least 4-5 hours overlap with EST time zone
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