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Graduate degree in computer Science or related field with five years of professional experience as an ETL Developer utilizing Informatica, IBM DataStage, SQL, PL/SQL, and Python. 2 years of experience with Informatica, Python, SQL, and PL/SQL.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, ECS, Kafka, Knowledge Graphs, SQL and non-SQL data stores, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, as well as a suite of in-house and third-party content publishing tools, an A/B experiment design platform and a commercial-advertising platform.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
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8 Required Hands on experience with WebSphere ND, MQ, Oracle, Java, SQL tools (PL/SQL developer, SQL plus), LDAP, Splunk, Dynatrace. Experience with Oracle, Java, SQL tools (PL/SQL developer, SQL plus), XML, LDAP, Splunk, Dynatrace, ISAM, IBM MQ and Middleware application servers is required.
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T-SQL Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks) Azure Data Engineer (Lead) with skills Oracle ADF, Azure Data Factory, synapse, databricks, Azure Datalake for location Bangalore, India Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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We at Frontline are heavily dependent on Microsoft SQL Server, MongoDB, DB2, PostgreSQL and MySQL for many of our application data management responsibilities, but also have a growing collection of new and exciting database technologies for which we are responsible.
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Work will involve using complex SQL queries to extract data from the vital records registration database in flat file format. Manages data extraction from TER, TxEVER and other agency databases using SQL code.
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Experience with AWS, Spark, Databricks, Data pipelines frameworks, streaming tools (Kafka), API design. Proficient in one or more of the following: Golang, TypeScript, Kubernetes, Helm, SQL, Terraform, basic DB schema design.
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Experience in object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNetExperience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C.
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This Opportunity WSP is currently initiating a search for a Lead Environmental Scientist, for our Austin, Texas office, to be a part of a growing organization that meets our client’s objectives and solves their challenges by providing technical assistance and guidance for multi-site/phase environmental work processes, due diligence, investigation, remediation, impact assessment, and environmental permitting.
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JAVA (J2EE), Spring Boot, Spring, Hibernate, JPA, Spring Data, Spring MVC, Spring Batch, IBM WebSphere, Oracle, SQL, PL/SQL, and database concepts/procedures. This candidate should have experience in hands on code development, and a strong understanding of database development with experience working with the following tools/technologies: JAVA (J2EE), Spring Boot, Spring, Hibernate, JPA, Spring Data, Spring MVC, Spring Batch, IBM WebSphere, Oracle, SQL, PL/SQL, and database concepts/procedures.
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Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS)What could set you apart:Bachelor's or Master's degree in computer science, engineering, or a related field. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Familiarity with SQL, Hadoop, Hue, Data Bricks or SAP ERP. The Legal & Compliance Organization is looking for a mid-level Data Analyst to join a multi-disciplinary group that works collaboratively with the Global Trade, Ethics & Compliance, Litigation, Privacy, Business Unit, and Corporate Services teams to conduct a wide range of business intelligence, visualization, and investigation support functions.
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