About the Position

We are seeking a Senior Data Engineer (AWS) with 5+ years experience to join our client’s Data Team in Bucharest, focusing on scalable data pipelines.

Responsibilities

Design, develop, and maintain scalable, high-performance data pipelines using Python, PySpark
Design, build, and optimize ETL/ELT pipelines and data transformation processes using SQL and ETL frameworks to ensure performance, scalability, and cost-efficiency, while supporting data warehousing solutions
Work with big data processing technologies such as Apache Spark on AWS Glue and EMR
Utilize Amazon S3, AWS Glue, and AWS Lake Formation for scalable data storage and analytics
Design and implement data models to support Data Warehousing (Redshift) and Business Intelligence (BI) needs
Ensure data quality, validation, and optimization to maintain reliability and consistency
Leverage AWS cloud-native services (Lambda, Step Functions, Kinesis) to build scalable data solutions
Collaborate with BI and analytics teams to ensure seamless data accessibility and insights delivery
Implement CI/CD pipelines for automated deployment, monitoring, and management of data solutions

Requirements

Technical

At least 5 years of experience in Data Engineering
Strong proficiency in Python and PySpark
Experience with workflow orchestration (Apache Airflow, AWS Step Functions)
Expertise in AWS Data Lake & Warehouse stack (S3, Glue, Redshift, EMR, Athena)
Experience with BI tools (QuickSight preferred)
Advanced SQL skills for data manipulation, validation, and optimization
Strong knowledge of ETL best practices, Data Modeling, and Data Warehousing
Proven ability to scale ETL pipelines
Solid understanding of CI/CD pipelines and DevOps principles

Education

University degree in Computer Science, Mathematics, or another related field

Others

Good level of English (oral and written)
Strong analytical and problem-solving skills
Ability to quickly learn and adapt to new technologies
Ability to work in a fast-paced, agile environment

Nice to Have

Experience with streaming data solutions (Kafka, Pub/Sub)
Experience with Snowflake
Knowledge of Terraform and/or CloudFormation
Experience in the financial-banking industry

We Offer

Competitive salary
Opportunity to work with cutting-edge technologies
Collaborative and innovative work environment
Professional growth and development opportunities

About the Company

IntelSol is a leading IT services provider, dedicated to delivering high-quality solutions and services to our clients. We are committed to fostering a culture of innovation, excellence, and continuous improvement.

Senior Data Engineer (AWS)

Job description