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The ideal candidate will have extensive expertise in setting up and optimizing DAAS solutions using a variety of tools and platforms, including MySQL, PostgreSQL, SQL Server, and Snowflake on AWS and Azure.
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Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies. Expertise and hands-on experience developing and deploying SQL, Python, and Spark-based data pipelines into production environments.
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Experience and familiarity with relational databases and ability to support/troubleshoot data backup, verification and validation activities for server-based tools and solutions (Oracle, SQL Server, InfluxDB, PostgreSQL, MySQL.
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Database Dialects: Oracle, Snowflake, PostgreSQL, SQL Server and DynamoDB (preferred) Tools: SQL Developer, Snowflake, SnowSQL, Postman, IntelliJ/Eclipse, Jenkins, Git repositories, Source-Tree, RestAssured and Docker.
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Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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Must Have: 6 + months spring Framework, Java , SQL, relational databases, BA in computer science or 8 years of hands on experience, and at least one or more with with Weblogic, PostgreSQL, IBM DB2, Sybase, MS SQL Server, UNIX/Linux.
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Our tech stack and tools include Java 8 and 11, Spring, Spring Boot, Servlets, REST API, ORMs (Hibernate), SLQ ( PostgreSQL, SQL Server), React JS, Maven, Git, Azure DevOps, Kafka, Docker, Kubernetes, ELK, and Prometheus.
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Test engineering, Validation, Test Case Development, manual testing, Test automation, API Testing, REST API, Swagger, Postman, Curl, Selenium, Azure, NoSQL, Azure DevOps, software verification, software validation, MySQL, PostgreSQL, MariaDB, SQLite, Microsoft SQL Server.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for , or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Design and implement ETL for extracting and transforming data from diverse sources, such as: Snowflake, PostgreSQL, and SQL Server databases. Experience with Snowflake, PostgreSQL, and SQL Server database technologies.
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Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra) Strong developer skills using SQL and Python.
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Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build. Experience using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.
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DE developing SQL scripts to extract large complex datasets and applying data quality checks to improve data quality, consistency, and integrity using PostgreSQL and PL/SQL; and performing advanced calculations on metrics, investigating key business trends, and providing actionable insights to support business growth and decisions using Alteryx and MS Excel.
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Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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Experience with database management systems, including SQL Server, MySQL, PostgreSQL or BigQuery. Experience with database management systems, including SQL Server, MySQL, PostgreSQL or BigQuery.
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