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Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.) Strong knowledge of Cloud Infrastructure, preferably designing and implementing off-prem cloud (Azure) or on-prem/private cloud virtualized architectures and solutions, including active-active and geo/regional resiliency with near zero RPO & RTO Strong experience in Relational and NoSQL databases (SQL Server / CosmosDB / MongoDB etc.
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Knowledge of programming languages such as Python, Java, or Scala for data processing and transformation tasks. Strong proficiency in Microsoft Azure services, particularly Azure Data Factory, Azure SQL Database, Azure Databricks, Azure Cosmos DB, Azure Synapse Analytics (formerly SQL Data Warehouse), etc.
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Must have 6 months of experience in any two of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark, Kafka, Dremio, AWS, Azure Platform, Google Cloud Platform, Cloudera, Hortonworks, Oozie, NoSQL, HBase, Elasticsearch, Cassandra, Flink, Flume, Snowflake, Redshift, EMR, Neo4j.
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Strong programming skills in languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink. Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery.
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Programming: working knowledge of Python, Scala, Java, or similar general purpose language. Strong knowledge/mastery of SQL (Currently on Snowflake) Create, construct, and uphold scalable data models and transformations utilising DBT alongside Snowflake, guaranteeing the efficient transformation and loading of data from various sources into the data warehouse.
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Tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Experience working with different query languages (i.e. PL-SQL, T-SQL). Strong experience in Angular/Angular JS, React JS and Node JS. Container experience with Docker and Kubernetes or other container orchestration platforms Experience with architecting large microservices based solutions.
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Prior experience of mobile platforms Xamarin iOS, Xamarin Android, and Xamarin FormsPrior experience in e- commerce, EDI, B2B architecturesAppropriate Cloud Certification is strongly preferredTOGAF or SEI Software Architecture Certification etc.,Exposure to BI Tools - like Tableau, PowerBI, QlikSense and DI Tools like Informatica etc.,Experience working with SAFe or Agile development processes.
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Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Knowledge of Chatbot Frameworks and Microsoft Cognitive Services.
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Moreover, the team is also actively exploring nascent applications such as IoT, Blockchain and AR/VR.Work You’ll Do:In your role, you will be responsible for envisioning and developing new digital products.
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Proficiency in SQL for data querying, manipulation, and analysis. Basic understanding of GCP services like BigQuery, Cloud Dataflow, Cloud Storage, etc. Experience with data pipeline orchestration tools like Apache Airflow, Azure Data Factory, AWS Glue, etc.
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About the JobI’m working with one of the Co-Founders of a 12 person startup with solid funding that started in 2015 out of MIT. The team is located in Boston and are looking for a talented backend software engineer to work on building and scaling their platform for real-time optimization and data analysis using Java8 / Scala and Python.
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Manager, Solution Architect - DAS Enterprise Risk ManagementPrimary Location: Hermitage/Nashville, TNOther Various locationsIf you are passionate about how digital technology is transforming business, plan your next career move with Deloitte’s ITS Application Studios.
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Competency in scripting and programming languages commonly used in data science, such as Python, R, SQL, and possibly others like Java or Scala. Competency in scripting and programming languages commonly used in data science, such as Python, R, SQL, and possibly others like Java or Scala.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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