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Data Engineer building high-performance Spark-based ETL/ELT pipelines and multi-layer data lake/warehouse solutions on Azure for a heavy analytics project.
Snowflake Data Engineer building end-to-end ETL/ELT pipelines using Snowflake, DBT, Python, and Apache Airflow in Hyderabad.
Senior Data Engineer at TCS designing and building scalable data platforms, ETL pipelines, and cloud-based data solutions using Python, PySpark/Spark, and cloud technologies (AWS/Azure/GCP).
Hands-on Data Engineer II building scalable batch and incremental data pipelines on GCP using BigQuery, SQL, Dataform/dbt, Cloud Composer/Airflow, and Dataflow/Apache Beam, with a focus on reusable data-platform components.
Data Engineer/BI & ETL Developer building ELT pipelines, data transformation models, and modernizing legacy data architectures for an Italian ICT system integrator. Core tech: SQL, ETL/ELT, Data Modeling.
Data engineer at Denmark's Financial Intelligence Unit building ETL pipelines, graph databases, and data models on an analysis platform using Python and SQL to support anti-money laundering intelligence work.
Job responsibilities Design & build new applications utilizing leading edge technologies and modernize existing applications Implement batch & real-time software components consistent with architectural…
Builds and maintains data pipelines, warehouses, and reporting systems to support business analytics, marketing insights, and management decisions for a medical spa chain.
Build and lead agentic AI systems for American Express’s servicing platforms, designing autonomous workflows, LLM orchestration, and evaluation tooling in Python/Go/TypeScript on AWS/GCP.
Builds and deploys ML models and tooling for PicPay’s fintech platform, automating pipelines and guiding data scientists on best practices.
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop,…
Build and optimize Databricks-based analytics pipelines and dimensional models that turn raw commercial data into trusted, self-serve insights for pharma reporting and dashboards.
Core Technical Skills Strong Python programming experience Advanced SQL DBT development Google BigQuery PySpark Data engineering and ETL/ELT pipeline development Data validation and reconciliation Data migration…
As a Data Engineering Intern, you will contribute to the design and maintenance of databases, data warehouses, and scalable ETL pipelines while collaborating with stakeholders to ensure data quality. You will work with technologies such as Python, SQL, and various cloud platforms to support the company's logistics and e-commerce operations.
This Data Engineer role involves leading a team to build and maintain robust data pipelines, migrate legacy systems to Snowflake, and optimize cloud infrastructure using AWS Glue, Python, and Spark. The position focuses on BAU operations, production support, and collaborating with stakeholders to ensure data quality and scalability.
Data Engineer building and maintaining ETL pipelines, data models, and cloud infrastructure (GCP/AWS/Azure) using Python and SQL for a research firm in Singapore.
Data Engineer building large-scale ETL/ELT pipelines on GCP (BigQuery, Dataflow, Composer/Airflow, Pub/Sub), ensuring data quality and governance, and mentoring junior engineers.
Develop and maintain data models that accurately represent business processes and requirements. • Perform data mapping to ensure consistency and integrity across various data sources and systems. • Conduct data quality…
The Senior Snowflake Data Engineer will design, develop, and maintain scalable data pipelines and ETL/ELT solutions using Snowflake and AWS. The role involves implementing CI/CD pipelines, managing infrastructure as code, and optimizing data models for performance and cost efficiency.
The AI Engineer will design, build, and deploy scalable AI and agentic solutions within Barclays, utilizing technologies like AWS, Python, and LLM frameworks. The role involves cross-functional collaboration to deliver secure, data-driven digital solutions while adhering to MLOps and governance standards.
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