Data Engineer
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Contributes to the design of information infrastructure, and data management processes
Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
Required Candidate profile
Min 3 yrs using Azure(preferred), Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.
should have L2 Support, L3 Support.
Saxon-Global is one of fastest growing Inc 500 Company providing IT consulting and solution engineering services. Saxon global has helped organizations across industries such as Financial Services, Retail, Telecom, Healthcare and Media Entertainment to successfully adopt IT tools and services for their continued growth. We in our constant endeavor to excel and forward looking approach have strengthened our skills and expertise in emerging areas of Big Data and Business Intelligence.
Saxon Global today partners with industry leading vendors of Business Intelligence and Big Data technologies to create a compelling technology stack and drive the benefits of this to our esteemed customers through our rich talent pool of data architects and engineers.
Customer delight forms the core of the Saxon Global vision and we are building on the three strong pillars of Technology competency, flexible engagement model and reduced total cost of ownership. We engage with our customers at various levels of their data lifecycle and handhold them to their success. Saxon Global is making continuous investments in creating proprietary IP’s for providing custom specific solutions in reduced least times and lowest cost. Our frameworks in the past have helped organizations big and small to quickly recognize the power of data and reap huge dividends from deep dive analytics.
We aim at being your trusted Data Analytics and Business Intelligence Partner to unleash power of your data.
Job ID: 104347601
Skills:
Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture
Skills:
Devops, Databricks, Microsoft Azure, Sql, Apache Nifi, Dagster, CI-CD
Skills:
Hadoop, Pyspark, Kafka, Presto, Spark, Python, AI tools, Pinot, pgvector, Codex, vector databases, Claude, Pinecone, Flink, cloud data warehouses, Hudi, Milvus, Weaviate
Skills:
snowflake , Pl Sql, Informatica, Python, dbt, Google BigQuery, Teradata
Skills:
Data Quality, Metadata Management, Data Governance, Python, Sql, workflow orchestration tools, ETL ELT frameworks, AWS cloud platforms, data lake architecture
