Data Engineer @ AVENGA

Minimum 2 years of experience in creating ETL solutions  Advanced SQL knowledge (Oracle preferred) Extensive experience with ETL tools (preferred Informatica PowerCenter) English language min. B2 level It’s nice-to-have:   University degree related to the position (Computer Technology/Mathematics/Physics/Finance/Banking) Worked with Data Vault concept...

Bachelor’s/Masters degree in Computer Science, Engineering, or a related field. 3+ years of working experience in the field of Data & Analytics, preferably in the CPG industry 3+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases...

Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. 2+ years of experience in data engineering or software development. Proficiency in Python, SQL, and data pipeline development. Preferred Qualifications: Experience with cloud platforms and data APIs. Familiarity with data transformation and validation techniques....

5+ years of working experience in the field of Data & Analytics, preferably in the CPG industry 5+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases (SQL/NoSQL), key libraries (e.g., pandas, SQLAlchemy), parallel processing, and...

You’re ideal for this role if you have: Strong proficiency in SQL with experience optimizing complex queries Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Composer) Solid programming skills in Python and familiarity with Git Experience in building and maintaining cloud-based data solutions Understanding of data governance principles...

Minimum 3 years of experience in Python programming Commercial experience and exposure to BigData technologies, Spark&Hadoop is a must Familiarity with Data Warehouse principles Knowledge of good engineering practices, Big Data processing, including Design standards, Data Modelling techniques, coding, documentation, testing and implementation Experience with...

You’re ideal for this role if you have: Proven experience in large-scale data platform migration and modernization projects Deep expertise in Azure Databricks, Delta Lake, and Azure Data Factory Strong programming skills in Python, PySpark, and SQL Hands-on experience with CI/CD pipelines using Azure DevOps, GitHub, or Jenkins Solid understanding of...

Qualifications & Competencies (education, skills, experience): 5+ years of experience in data engineering on AWs Strong knowledge of AWS data stack: Glue, Athena, Lake Formation, S3, Step Functions, Lambda, RDS etc. Proficient in Python for scripting, automation and data manipulation tasks Experience with PySpark for building scalable, distributed ETL/ELT...

Background as a Java Senior Developer who transitioned into Data Engineering. Solid understanding of data engineering principles and Big Data processing. Hands-on experience with Scala and Apache Spark. Experience with software development. Familiarity with CI/CD pipelines, code quality monitoring, and cloud environments (preferably Azure). ...

5+ years of software development experience, strong in Python and SQL. Experience with web technologies (HTML, JavaScript, APIs) and Linux. Familiarity with web scraping tools (Selenium, Scrapy, Postman, XPath). Knowledge of containerization (Docker) and cloud platforms (AWS or Azure preferred). Strong problem-solving skills and ability to work...