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Senior Data Engineer builds and maintains cloud-based data platforms on AWS, focusing on data ingestion and processing pipelines using Spark, Python, and AWS services.
Build and maintain data ingestion and transformation pipelines using AWS, S3, and Redshift, with SQL and Python.
Build and maintain data ingestion and transformation pipelines using AWS, Redshift, PySpark, and SQL to create datamarts and BI solutions.
Builds and maintains AWS-based data pipelines using Python, PySpark, and Redshift to ingest and transform data for analytics and reporting.
Designs and executes test strategies for AWS-based cloud data platforms, validates ETL/ELT pipelines, ensures data integrity, and builds automated testing frameworks using AWS Glue, EMR, Redshift, DynamoDB, SQL, PySpark, and Python.
Builds full-stack applications using Node.js/Python for backend services and Angular for frontend, focusing on REST APIs, event-driven architectures, and AWS cloud integration for scalable solutions.
Senior Data Engineer designs and builds scalable data pipelines and warehouses for a telehealth platform, using Python, AWS, SQL, Airflow, dbt, and Redshift to support analytics and ML.
Designs and maintains data pipelines, infrastructure (AWS DMS, HBase, Kafka, Airflow, etc.), and tools to enable data-driven decisions for Wattpad’s storytelling platform.
Design and maintain scalable data pipelines for Grab’s lending business using Flink, Spark, Kafka, and AWS services to deliver real-time metrics and analytics.
Design and govern enterprise data architectures for a healthcare innovator, applying TOGAF and DAMA principles to build scalable platforms that power analytics and AI initiatives.
Lead the technical direction of analytics engineering for Vinted’s revenue, purchase, and orders domains, building scalable, maintainable data models and pipelines using SQL, dbt, and cloud platforms like BigQuery.
Build and maintain scalable data pipelines and warehouses for a fast-growing mobility app, using Python, Spark, Kafka, and cloud data warehouses like Snowflake.
Senior Database Engineer designs, optimizes, and maintains database systems for federal government clients, ensuring performance, security, and reliability while integrating with data pipelines.
Build and maintain AI-driven data products like agents, chatbots, and automated query systems for an edtech company, using Python, SQL, and cloud tools.
Design, build, and maintain scalable ETL/ELT data pipelines to transform raw data into insights for analytics/business teams, using Python, SQL, and tools like Airflow/Prefect/Dagster in a cloud data stack (Snowflake/BigQuery/AWS Redshift/Databricks).
Builds and maintains scalable ELT pipelines into Amazon Redshift, ensuring data reliability and quality for analytics teams in an EV charging company.
Data Scientist focused on cost optimization for a wireless carrier, building cost models and optimizations for network costs, validating models against financial data, and turning analysis into business decisions using dbt, Redshift, Python, and AI tooling.
Czym będziesz się zajmować? SUMMARY Remote or hybrid (Kraków) ⏱ Project: 3 months PROJECT You will join a project focused on modernizing an existing ODS (Operational Data Store) platform, where current batch-based and…
Manages end-to-end cloud migration and modernization programs across GCP, AWS, and Azure for TELUS Digital, leading large-scale transformations, governing multi-cloud initiatives, and optimizing costs up to $50M budgets.
Sia Partners is seeking an Analytics Engineer to bridge data analysis and data engineering by building robust data models and ETL/ELT pipelines for clients. The role involves transforming raw data into actionable insights using tools like SQL, cloud platforms, and BI software.
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