Data Engineer

- Bachelor degree in Computer Science, similar technical field of study or equivalent practical experience.- Commercial experience developing Spark Jobs using Scala and Java- Experience in data processing using traditional and distributed systems (Hadoop, Spark, AWS - S3) and designing data models and data warehouses.- Strong understanding and application of...

About the CompanyData Science UA is a service company with strong data science and AI expertise. We have established ourselves as a leading provider of data-driven solutions in Eastern Europe.Our ClientWe are proud to partner with a market-leading intelligence platform for paid search advertising. Their innovative approach combines artificial search...

Position Overview: As an AI/ML Engineer, you will play a crucial role in enhancing our platform's capabilities by developing and refining machine learning models that drive accurate forecasting, event analysis, data-driven decision-making, and more. You will collaborate closely with product owners and engineering teams to implement scalable AI solutions that...

Minimum 3 years of experience in Data EngineeringProficiency in SQL and hands-on experience with databases (PostgreSQL, Snowflake, BigQuery, Redshift)Familiarity with Apache Airflow, Spark, KafkaExperience working with cloud platforms (AWS, GCP, or Azure)Programming skills in Python or ScalaKnowledge of CI/CD systems and automation toolsNice to have:...

You're ideal for this role if you have:5+ years' experience in data engineering within Agile and DevOps environmentsStrong proficiency in Pyspark or Scala developmentHands-on experience with Apache Spark, Hive, Hadoop, and YARNSolid knowledge of SQL and ETL frameworksExperience using version control tools like Git/GitHubProficiency with workflow...

UPTARGET is looking for a skilled Data Engineer to manage and optimize data infrastructure for an e-commerce project.Requirements:- 5+ years of professional experience in data engineering or a related role.- Proficiency in data engineering tools and techniques.- Experience with Azure Data Warehouse and Qlik (or similar platforms).- Strong understanding of...

A master's degree in Data, Computer Science, Information Management, or a related field.8+ years of experience in software and data engineering, with at least 2+ years specifically in Data Pipeline Engineering and Integration. Proven ability to lead complex data engineering projects.Proficiency in Databricks and Spark, with knowledge of their core...

   Experience of data engineering, ETL processes   At least 7 years of professional experience in SQL development   Experience in GCP, Big Query   Experience with data build tools (DBT)   Experience with Airflow, Cloud Composer   Experience of data modelling   Experience with data streaming, e.g. Kafka   Experience with BI tools – mainly...

5+ years of experience in data engineering with a software development background.Strong expertise in Azure (Data Factory, Databricks, PySpark/.NET for Spark)Strong expertise in SQL.Proficiency in Python, .NET (C#), and Azure for data processing.Experience with Azure Data Analytics tools (e.g., Azure Data Lake, Synapse, Cosmos DB).Strong analytical and...

Requirements:5+ years of experience in software development and data engineering. Bachelor's degree in computer science, Information Technology, or related field. Strong proficiency in Python, .NET, and Azure services. Experience with Azure Data Analytics tools (e.g., Azure Data Lake, Synapse). Proficiency in building scalable and secure APIs (REST,...

5+ years of experience as a Data Engineer, Data Platform Engineer, or related role.Proficiency in Python, Scala, or Java for data processing and automation.Hands-on experience with big data frameworks like Apache SparkExperience with streaming and batch processing using KafkaStrong knowledge of cloud platforms (AWS) and their data processing...

Required: Minimum of 5 years commercial work experienceBachelor's or higher degree in Computer Science, Software Engineering, or a related fieldProficiency in Python, essential for data processing and analysis tasksHands-on experience with DBT (Data Build Tool)Commercial experience using PySpark and DatabricksKnowledge in Infrastructure as Code tooling,...

You'll be working with a talented team of engineers, data scientists, and product managers to develop innovative solutions that drive business growth. As a key member of our Data Science Engineering team, you'll contribute to the design and implementation of scalable data platforms, architecting and engineering data onto these platforms, providing...

3+ years of experience in backend or data engineering roles.Proficiency in programming languages such as Python, Java, or Scala.Solid experience with big data technologies like Spark, Hadoop, or Kafka.Strong problem-solving skills, a positive attitude, and a willingness to learn and take on challenges.Ability to independently drive feature development from...

At Provectus, we are seeking a highly skilled Data Architect and Engineer to join our diverse practices. As part of our team, you will collaborate with data engineers, machine learning engineers, and application developers to tackle technical challenges and contribute to open source projects.About UsWe are the first AI consultancy and solutions provider,...

Job DescriptionWe are seeking an experienced Senior Data Engineer to join our team and support the development and maintenance of advanced data processing solutions. Your responsibilities will include building scalable and efficient ETL pipelines, optimizing data processing workflows, and integrating with cloud platforms.ResponsibilitiesDesign, development,...

3+ years of experience in data engineering, preferably supporting AI/ML applications.Proficiency in Python, SQL, and vector database query languages.Experience with relational, NoSQL, and vector databases (Snowflake preferred).Hands-on experience with AWS (OpenSearch, S3, Lambda) or Azure (Azure AI Search, Blob Storage, Automation).Experience building...

Must-Have Skills:Experience in data analysis using tools such as Tableau, ThoughtSpot, or Grafana.Strong SQL and dbt experience for data transformation.Stakeholder management for individual dashboards, including consulting and proactive engagement.Nice-to-Have Skills:Familiarity with Snowflake and other RDBMS solutions, GitLab, dbt, and Tableau.Experience...

Qualifications:Strong proficiency in Scala and the ability to design and build robust backend services. Experience with Python for data pipeline development, ETL processes, or data integration Solid understanding of database systems (SQL/NoSQL) and experience working with large datasets. Experience with K8S, writing and maintaining Helm...

5+ years of experience in configuration/release management, deployment, maintenance and familiarity with various Data Platforms and practices in data areaExperience in creating frameworks, using automation tools and executing best practices in real world Data Platform implementation projectsKnowledge of enterprise architectures and technology trends,...