Tecknoworks Europe

Tecknoworks Europe is a global technology consulting and delivery company that empowers clients to enhance productivity and profit through innovative technology solutions. Committed to creating a positive impact, Tecknoworks fosters personal and professional growth among its team members while serving a diverse range of clients from mid-sized businesses to large corporations.

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🔥 Data Scientist | ML

Posted 2024-10-24

📍 Romania

🔍 Technology consulting

Proficiency in programming languages such as Python, R, or SQL.
Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, Scikit-learn, SciPy, OpenCV).
Familiarity with machine learning/AutoML frameworks (e.g., TensorFlow, Keras, PyTorch, JAX, Auto-Sklearn, Auto-PyTorch).
Knowledge of data visualization tools (e.g., Power BI, Tableau).
Proven track record of working with large datasets and developing predictive models.
Experience with cloud platforms (e.g., AWS, Azure) is a plus.
Strong problem-solving skills and analytical thinking.
Excellent communication and presentation skills.
Ability to work collaboratively in a team environment and with stakeholders.

Perform exploratory data analysis to discover trends, patterns, and insights.
Process, cleanse, and validate data integrity for analysis.
Mine data from valuable sources.
Develop and validate models/algorithms using machine learning techniques.
Optimize models for accuracy, efficiency, and scalability.
Collaborate with teams to translate business requirements into data-driven solutions.
Communicate insights to stakeholders through visualizations, reports, and presentations.
Stay updated with data science and machine learning advancements.
Seek opportunities to improve existing processes.

PythonSQLData AnalysisData MiningKerasMachine LearningNumpyOpenCVPyTorchTableauAlgorithmsData analysisData miningData sciencePandasTensorflowAnalytical SkillsProblem Solving

Posted 2024-10-24

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🔥 Data Engineer | AWS

Posted 2024-10-24

📍 Romania

🔍 Technology consulting

Experience in integrating data into analytical platforms, ingestion technologies, data profiling, source-target mapping, ETL development, SQL optimization, testing, and implementation.
Experience in leading and deploying data solutions on cloud platforms like AWS using services such as Lambda, S3, Redshift, Glue, and DynamoDB.
Experience in large-scale data warehousing and analytics utilizing Snowflake.
Experience in programming languages like Python, Java or Scala.
Experience with databases (SQL and NoSQL), data processing frameworks (like Hadoop, Spark, and Kafka), and cloud platforms.
Experience in managing structured and unstructured data and driving value from big data and data modeling.
Track record of working in Agile teams to deliver results against challenging timescales.
Experience with Matillion is a plus.
Certifications in Cloud technologies and data engineering, e.g., AWS, Snowflake, and Data Warehouse, are a plus.

Collaborate constantly with architects, engineers, and business teams to understand business requirements and deliver solutions that meet the needs.
Build data pipelines, data transformations, processing, quality, crunch, and curation following documented business and technical requirements.
Develop analytical solutions, taking full responsibility for data engineering.
Build the data models and data flows for analytical solutions and integrate Data Science routines into the models as required.
Implement standard methodologies within the Analytical Solution department.
Stay current with the latest trends and technologies in cloud computing and data engineering.

Posted 2024-10-24

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🔥 Data Engineer | B2B or CIM

Posted 2024-10-24

📍 Romania

🧭 Full-Time

🔍 Technology consulting

Prior experience designing, developing, and maintaining scalable data pipelines using Python and SQL.
Exposure to distributed data processing systems with Apache Spark and workflow orchestration using Apache Airflow.
Management of cloud-based data platforms using AWS and Azure technologies.
Strong SQL skills for querying in RDBMS and NoSQL systems.
Experience with DBT for data quality frameworks and understanding of data warehousing concepts.

Design, build, and maintain scalable data pipelines.
Collaborate with cross-functional teams on cloud platforms and distributed data processing frameworks.
Implement distributed data processing systems with Apache Spark.
Implement and manage ETL processes using Matillion.
Manage cloud-based data platforms integrating with Snowflake, Databricks, etc.
Design and implement data quality frameworks.
Work with data scientists and analysts to understand requirements.

Posted 2024-10-24

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🔥 Data Analyst

Posted 2024-10-24

📍 Romania

🔍 Technology consulting

Proficiency in SQL with strong ability to write and optimize complex queries.
Proficient in Python for data manipulation, analysis, and automation scripting.
Hands-on experience with data visualization tools like Tableau or Power BI to build dashboards.
Understanding of ETL processes and experience in designing automated reporting systems.
Knowledge of data modeling concepts for building scalable reporting solutions.
Analytical thinking to break down complex business problems and design suitable data solutions.
Strong attention to detail for maintaining data accuracy and quality control.
Ability to work with cross-functional teams to understand business objectives related to data analysis.
Familiarity with cloud data warehouses like AWS Redshift or Snowflake is a plus.
Strong verbal and written communication skills for presenting findings to various stakeholders.

Extract, manipulate, and analyze large datasets using SQL and Python to provide data-driven insights.
Design, develop, and maintain automated reporting solutions and dashboards using data visualization tools like Tableau or Power BI.
Work closely with business stakeholders to understand their requirements and translate them into scalable reporting solutions.
Create and optimize SQL queries for efficient data extraction.
Support in automating data extraction, transformation, and reporting processes to enhance efficiency.
Collaborate with engineering and business teams to ensure data availability and quality.
Troubleshoot and resolve data discrepancies, reporting issues, and data integrity challenges.

PythonSQLBusiness IntelligenceData AnalysisETLTableauData analysisData scienceCommunication SkillsAttention to detailWritten communication

Posted 2024-10-24

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🔥 DevOps Engineer | AWS & Azure

Posted 2024-10-15

📍 Romania

🔍 Technology consulting

3+ years of experience as a DevOps Engineer or in a related role with strong experience in both AWS and Azure cloud environments.
Expertise in AWS services (EC2, S3, RDS, Lambda, VPC, IAM, etc.) and Azure services (VMs, Azure Storage, Azure Functions, Virtual Networks, etc.).
Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, Bicep).
Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps).
Strong scripting skills in Bash, Python, PowerShell, or similar.
Experience with containerization (Docker, Kubernetes, AWS ECS/EKS, Azure AKS).
Familiarity with monitoring tools such as AWS CloudWatch, Azure Monitor, ELK Stack, or Prometheus.
Knowledge of networking concepts: VPN, DNS, Load Balancing, Firewall Rules, etc.
Experience with security best practices: IAM, VPC Security Groups, Firewalls, Encryption, etc.
Strong problem-solving skills and ability to work independently or as part of a team.
Experience in agile methodologies and DevOps culture.

Design, configure, and manage scalable, secure, and highly available cloud infrastructure on both AWS and Azure platforms.
Build, maintain, and enhance Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins, GithubI, or Azure DevOps for automated testing, deployment, and monitoring.
Develop infrastructure-as-code (IaC) using tools like Terraform, CloudFormation, or Bicep/ARM templates to automate cloud resource provisioning and configuration.
Implement and manage monitoring, logging, and alerting systems using services like AWS CloudWatch, Azure Monitor, ELK Stack, or Prometheus to ensure visibility into performance, reliability, and security.
Ensure cloud infrastructure follows industry best practices for security, including IAM policies, network security groups, firewalls, and encryption.
Manage containerized applications using Docker and orchestration tools like Kubernetes or AWS ECS/EKS.

AWSDockerPythonSQLAgileBashJenkinsKubernetesAzurePrometheusServerlessCI/CDAgile methodologies

Posted 2024-10-15

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Tecknoworks Europe

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