Job Title: Data Engineer - Azure (Scala/Kafka)

Company Name: Tiger Analytics

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/yznwdlfraown908v

Job Description: Posted 2y agoData Engineer - Azure (Scala/Kafka)@ Tiger AnalyticsView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:build pipelines, data integration, stream dataRequirements Summary:Bachelor's degree; 8+ years in Data Engineering and analytics; strong Scala, Kafka, Azure, PySpark, Python, SQL; experience with Azure Data Factory, Databricks, Delta Lake; Unix experience; real-time streaming and API integration.Technical Tools Mentioned:Scala, Kafka, Azure Data Factory, Azure Synapse, Python, SQL, PySpark, Apache Spark, Delta Lake, Azure Databricks, Unix, APIs
DescriptionTiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.  We are expanding our Data Engineering practice and looking for Sr. Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.  This is a remote role for applicants based in USA.Requirements  Bachelor’s      degree in Computer Science or similar field  8+ years experience in Data Engineering + several years in Analytics space Strong Proficiency in Scala - coding experience a must Strong Proficiency in Kafka and ADF for data pipelines /migration experience a must (Azure Synapses)  Experience with real time streaming, Kafka, and API Integration  Experience in PySpark  Strong Proficiency      in Python programming.  Strong Proficiency      in SQL queries  Experience      building data pipelines using Azure stack  Experience using Apache spark  Good      working experience on Delta Lake and ETL processing  Prior      experience of working in a Unix environment  Experience      in harmonizing raw data into a consumer-friendly format using Azure      Databricks  Experience      extracting/querying/joining large data sets at scale  Experience      building data ingestion pipelines using Azure Data Factory to ingest      structured and unstructured data  Experience      in data wrangling, advanced analytic modeling is preferred  Strong      communication and organizational skills BenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.