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Thorough understanding of Geospatial Information Systems (GIS) software (ArcGIS Pro, Desktop, Enterprise), Quantam GIS (QGIS), GeoServer, PostGIS (PostgreSQL), as well as software engineering and programming for GIS systems (SQL, Python, JavaScript, HTML) in large computer and minicomputer and microprocessor systems supporting a broad base of applications.
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Strong proficiency with cloud services (e.g.: OpenShift, Azure, AWS), modern JS frameworks (e.g.: React, Angular, NodeJS), SQL and NoSQL DBMS (e.g.: SQL Server, Postgresql, Mysql, Redis, MongoDB), Object-oriented development (e.g.: Java, Node.js, Go, Rust or.
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Required Skills: SQL Databases & network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy admin skills; Java-based applications environment; AWS & related open source & cloud tech; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
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Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. Exceptional coding skills in Python and SQL, to include common Python libraries like Pandas, Scikit-Learn, PyTorch, and/or TensorFlow.
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Experience working on multiple databases such as Snowflake, SQL Server, Databricks, Oracle, PostgreSQL, MySQL, etc. Mentoring & review SQL code and deliverables of junior & mid-level Data Analysts.
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Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
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Meaningful experience with some DBs, such as MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, IBM DB2. BigID has been recognized for being one of CNBC’s Top 25 Startups powering the economy, we're on Built In's 2023 Best Places to Work, one of America's fastest-growing companies, Inc5000 2023, 3 years running, one of the 20 coolest identity access management and data protection companies, CRN Security 100 2023, a Market Leader in DSPM at the 11th annual Global InfoSec Awards (Cyber Defense Magazine) and 2023 Disruptor Gold Winner - Most Disruptive Cyber Security Software, Globee Awards.
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Excellent knowledge of relational databases (PostgreSQL, Oracle), SQL and ORM technologies (JPA2, Hibernate) Excellent skills in DB Schema design and SQL development. Back End Skills: Microservices, REST, Node.js, JVM (Java - Spring, Spring Boot, Hibernate, etc.
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Develop and manage backend services using technologies such as Oracle, PostgreSQL, MongoDB, Redis, Elasticsearch, Solr, and SQL, ensuring efficient data storage, retrieval, and indexing capabilities.
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Ensure data integrity by performing employing data engineering best practices Maintain database and data pipeline documentation, data dictionaries, and system diagrams Minimum Requirement Bachelor’s Degree and 12+ years of prior relevant experience or Masters with 10+ years of prior relevant experience Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc.
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Regardless of whether the data is in Files (desktop or S3), SQL (MySQL, PostgreSQL, SQL Server, MariaDB), AWS data stores (Athena, RDS, RedShift, Aurora), or SaaS business applications (Salesforce), Amazon QuickSight makes it easy for our customers analyze and get insights instantly.
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Experience with DB technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, Redis). Experience with DB technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, Redis.
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The Pricing Manager will work with variety of technology systems spanning across the whole organization (Snowflake, PostgreSQL, Tableau, Microsoft DevOps, Atlassian, etc.) Included in these responsibilities are: file intake (Azure data factory/Python/DataGrip), file processing (SQL/Python), Visualization (Tableau, PowerPoint, Excel.
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Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation.
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Programming Languages - Javascript, HTML5, CSS, Java, SQL, Python, PowershellDatabases - MySQL PostgreSQL, NoSQLFrameworks - Spring, Hibernate, Angular. Apart from our expertise in land and offshore operations, we are continuously expanding our knowledge within subsea mining, geothermal, onshore and offshore construction, as well as offshore wind industries.
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