... least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse ...
... using Python and PySpark to ingest data from files, APIs, RDBMS, NoSQL, and message queues into AWS data stores Develop and optimize PySpark jobs for large-scale data processing, transformation, and aggregation on AWS EMR or Databricks Build and manage AWS-native data workflows using S3, Glue, Lambda, Redshift, and Step Functions; ...
... partners. in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science) or equivalent practical experience. - Experience: 2–4 years of Data Science experience, ideally including 3+ years focused on Credit Risk, Fraud Analytics, Lending, or Fintech. - Production-grade fluency in Python and advanced, ...
... software applications using SQL, Python and .NET - Working knowledge of Azure infrastructure management and resource deployment, system networking and security and data visualization tools like PowerBI, Grafana, and Tableau - Preferred qualifications are a Master's or PhD degree in Computer Science or related Engineering areas ...
... applications, or hybrid modeling approaches (physics-informed ML, combining domain knowledge with ML) - Familiarity with Agile development methodologies - Knowledge of data engineering, data warehousing, and SQL - Experience using data science techniques to solve real-world problems across multiple business domains and communicate ...
Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...
... experience in data platform build or any related field. - Familiarity and has worked with cloud-based data warehousing solutions (e.g., Fabric,Snowflake, Redshift, Databricks) and principles - Proficient in SQL and Apache Spark / Python programming languages. - Experience with cloud platforms like Azure. - Experience in data ...
... overfitting, vanishing gradients, dead ReLUs, etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training ...
... problems Support Agile workflows and stay effective with UNIX command line tasks Requirements Demonstrated experience of 5+ years of professional work in Data Science Strong analytical skills in statistical data analysis, machine learning, and NLP while accounting for real-world limitations Advanced proficiency in Python ...
... development - Expertise in building Azure-based data pipelines, including: - Azure Data Factory / Synapse - DataBricks / Synapse Spark Pool - Cosmos DB - Azure Data Lake Storage (ADLS) - Dedicated SQL Pool / Azure SQL - Azure Logic Apps - Hands-on experience with data transformation and cleansing using Spark, Python, R, SQL ...
... for an experienced Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Apache Spark, Python, SQL, Kafka, and modern data engineering frameworks . The role will focus on building reliable data solutions for high-volume batch and real-time workloads, including data ingestion, transformation, ...
... by applying advanced statistical techniques and programming expertise. Assist Commercial stakeholders in scenario planning and forecasting Deep expertise in data science technologies, including statistical programming languages (Python, R), advanced statistical techniques, and data manipulation tools. Proven experience ...
... relevant experience in data science, data engineering, analytics engineering or a closely related role, including at least 3 years of hands-on experience with Python and Spark/PySpark. - Strong practical knowledge of Python data tooling and software-engineering fundamentals, including modular design, testing, version control ...
... maintain Python applications for data extraction, transformation, automation, and reporting. Build and optimize data pipelines and ETL processes to handle large datasets from multiple sources. Develop reusable Python modules to streamline analytics and reporting workflows. Integrate APIs, databases, and external data sources ...
... analyzing results. Bachelor''s degree in Computer Science, Information Systems, Mathematics, Business, or related fields. Minimum of 4 years of experience in data analysis, with a preference for marketing within a data-driven company. Proficiency in Python, SQL and Tableau (or similar business intelligence tools) is essential. ...
... various data-related tasks and be eager to learn new technologies and https://jobeax.com/link/b4yK9UFTLnSjLxNr Qualifications:- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.- 5 - 8 years of hands-on experience with strong programming skills in Python for data manipulation ...
... large-scale data processing, Python development, distributed systems, databases, data quality, and governance. What You’ll Do - Design, build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop ...
... large-scale data processing, Python development, distributed systems, databases, data quality, and governance. What You’ll Do - Design, build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop ...
... with cloud platforms (AWS / Azure / GCP).- Familiarity with MLOps tooling and practices (e.g., model versioning, CI/CD for ML, monitoring).- Experience with big data technologies (Spark, Databricks, etc.).- Bachelor's / Master's / PhD in Computer Science, Statistics, Mathematics, or a related quantitative https://jobeax.com/link/sEOksQVqU173JbV8 ...