Hire Remote Senior
Data Engineering Developers
in Europe

Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.

Data EngineeringData ScienceGoogle Cloud PlatformApache SparkETLApache KafkaApache AirflowPythonMachine LearningNLPAWSLarge Language ModelsAPIGoogle BigQueryTensorFlowCommunication SkillsScikit-learnPandasElasticsearchPython 3SQLLinuxMLOps

Ali is a highly skilled and results-driven Data Engineer with 7 years of extensive experience in data warehousing, analytics, and visualization. He is well-versed in various tools and technologies, including Google Cloud Platform (GCP), BigQuery, Cloud SQL, Amazon Web Services (AWS), Apache Airflow, Apache Spark, GitHub, Python, Hadoop, and Hive. Ali has a proven track record in supporting data teams through the creation and management of data pipelines on Apache Airflow. He excels in designing, developing, and optimizing data solutions to address various business needs and challenges. Ali is adept at handling large-scale datasets, executing complex data transformations, and crafting efficient data pipelines and workflows. His track record underscores his ability to deliver impactful solutions to complex data challenges.

Data EngineeringGoogle Cloud PlatformData WarehouseData ModelingApache AirflowApache HadoopApache SparkData VisualizationApache HiveSQLGoogle BigQueryPythonMLOpsGitGitLabCI/CDGitHubPython 3RDBMSOozie

Senior Data Engineer with experience in digital transformation, migration, and data analytics within the financial and IT consulting sectors. Expert in collaborating with business teams and stakeholders to identify and implement operational improvements through data and IT solutions. Proven ability in developing teams through mentoring and guiding on business tools, programming languages, and domain knowledge, driving continuous improvement and professional growth. Technical Skills: \- Cloud Platforms: Google Cloud Platform (Certified Professional Data Engineer), Microsoft Azure (Certified Data Engineer) \- Data / Software Engineering: Data warehousing, ETL/ELT, data pipelines, data modeling, SQL, Python, Spark, Pyspark, software development lifecycle. \- Data Analytics: Data exploration, statistical analysis, data visualization, \- Project Management: Agile methodologies

Data EngineeringBig Data EngineeringGoogle Cloud PlatformData warehouseData modelingApache SparkApache KafkaAirflowAzure Data FactoryPythonSQLAzureAmazon S3Power BITerraformDatabricks