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Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow) Familiarity with cloud platforms (e.g., AWS, Azure) and their data services (e.g., S3, Redshift, BigQuery.
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Demonstrated multi-year experience with AWS tech stack (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau and MuleSoft. Experience with Salesforce, AWS Redshift, Snowflake, Informatica, Tableau, MuleSoft.
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Databases: PostgreSQL, MySQL, MongoDB, ElasticSearch Build technologies: Jenkins, Maven, Gradle, CMake. Cloud technologies: Containers (Docker/Podman), Public cloud (GCP/AWS), Kubernetes, Microservices.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra. 3+ years of experience in AWS Glue, SNS, SQS, S3, ECS, LAMBDA. AWS, Azure, google cloud.
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Backend development experience with Java, Spring, Spring Boot, RESTAPIs, and Relational and/or No-SQL Databases (Postgres, MySQL, MongoDB, Cassandra). Our stack includes an Angular frontend web application, Apigee API Gateway, Enterprise Swagger Hub for API contract governances, and AWS-deployed services including S3, Lambdas, DynamoDB, and Cognito.
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Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake). Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake.
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Key Skills: Exploratory Data Analysis (EDA), SQL, AWS (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau, and MuleSoft. Key Skills: Exploratory Data Analysis (EDA), SQL, AWS (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau, and MuleSoft.
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Expertise (4+ years) in distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling, as well as public cloud platform & systems (AWS, GCP, Azure) Experience developing with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops.
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Experience working with RDBMS and NoSQL data stores on-premise and in the Cloud (e.g. SQL Server/Azure, PostgreSQL/Azure, MongoDB, MySQL, Cosmos DB/Azure, Aurora/AWS, Teradata, Oracle) Building applications on one or more public Cloud Platform (e.g. Azure, AWS.
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5+ y of exp with interpreting database tables and data to understand correct extraction and mapping; SQL and SQL queries; exp with PLSQL Developer, SQL Plus, SQL Navigator, and AWS Glue; Migration exp ; Salesforce, AWS Redshift, and Snowflake; columnar databases.
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Solid experience using data related services in AWS Data services like DMS, SCT, RDS, Aurora, Redshift etc. Solid experience using relational databases (PostgreSQL, Oracle) and NoSQL databases (Elastic Search/ MongoDB.
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Leverage cloud platforms (AWS, Google Cloud Platform, Azure) for infrastructure and deployment needs. Familiarity with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB) Experience with cloud platforms (AWS, Google Cloud Platform, Azure.
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Experience with Salesforce, AWS Redshift, and Snowflake. Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB). Experience with PLSQL Developer, SQL Plus, SQL Navigator, and AWS Glue.
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Proven work experience as a Data Engineer , Database Developer, or similar role. The ideal candidate will have a strong background in software development, database management, and a solid understanding of data mapping and transformation, extraction, and loading.
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