Data Engineer
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We are looking for a skilled and experienced Data Engineer to join our team.
The ideal candidate will be responsible for building and maintaining scalable data pipelines,
ensuring data quality and integrity, and supporting data analytics initiatives across the organization.
Euclid Innovations is a product-based technology solutions company headquartered in North Carolina, USA, with operations in Hyderabad and Bangalore, India. The company delivers innovative technology solutions to global enterprises, particularly in banking, financial services, and digital transformation. Its expertise includes product development, securities trading platforms, risk management, blockchain, cryptography, computational solutions, and process optimization. Euclid develops scalable solutions across asset classes including equities, fixed income, commodities, and currencies using technologies such as Ethereum and Hyperledger Fabric. With over 20 years of experience, the company helps clients reduce operational costs while improving efficiency, quality, and business outcomes through advanced digital and enterprise solutions.
Job ID: 106085853
Skills:
data engineering , Etl, Sql, Apache Airflow, Tensorflow, Data Analytics, Dashboarding, Machine Learning, Performance Tuning, Pytorch, Data Integration, Shell Scripting, Python, Scikit-Learn, Data Validation
Skills:
Power Bi, PowerShell, Azure Data Factory, Azure Synapse Analytics, Python, Azure DevOps, DAX functions, Azure Blob Storage, CI CD processes, Azure Data Lake Storage, Azure Analysis Services, Azure Data Catalog, Azure Data Services
Skills:
Data Governance, ETL process design, data storage solutions, data integration techniques, distributed computing environments, cloud-based data platforms, data quality best practices, Microsoft Azure Databricks, data pipeline architecture
Skills:
Azure Data Factory, Data Modelling, Azure Synapse Analytics, Azure Data Lake, Python, Sql, DataOps, CI CD pipelines, Microsoft Fabric
Skills:
snowflake , Aws Redshift, Power Bi, Data Warehousing, Tableau, Sql, Apache Airflow, Azure Data Factory, Azure Synapse Analytics, Apache Kafka, Databricks, Apache Iceberg, pipeline development, Google BigQuery, Looker, dbt, Delta Lake, Azure Event Hubs, Microsoft Fabric, AWS Kinesis, cloud-native data architecture, Databricks Workflows
