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Role:Design, develop, and maintain high-performance, scalable, and secure Java applications Implement distributed processing solutions using multi-threading and multi-processing orchestration Develop cloud-based applications on Azure, with experience in OpenShift being desirable Write efficient SQL queries, stored procedures, and create views for relational databases Analyze data and perform data transformations using tools like SSIS Script automation tasks using Python.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experienceProficiency in SQL and working with large and complex datasets.
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The ideal candidate will have hands-on experience with the implementation of Calypso v16/v17, preferably in on-prem or Cloud environments. Good working experience with JIRA, Postman, Excel, SQL, and Microservices based applications is a plus.
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Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.) Architect, deploy, and optimize Databricks solutions on AWS, developing scalable data processing solutions to streamline data operations and enhance data solution deployments.
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Should have hands on expertise in SQL (ability to write complex Sql's, Joins etc) and good data analysis skills and ability to work on multiple databases like Oracle, Sybase, Hadoop, Sql Server.
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Proficient in utilizing Java project build tools like Maven, Gradle, and ANT. Hands-on experience with Azure Services including ACA/AKS, Azure VMs, Azure Functions, Azure Logic Apps, APIM, Azure Application Gateway, etc.
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3+ years of experience with SQL Server or Databricks ETL, including hands-on experience developing SQL stored procedures and SQL-based ETL pipelines. Deliver high-quality features using SQL (Databricks + MS SQL) and Java/Angular.
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Hands on experience with media measurement approaches including marketing mix modelling (MMM), multi-touch attribution (MTA), test & learn, and brand lift studies. Familiarity with programming languages is a plus (R, Python, dbt, SQL.
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You should possess strong technical skills in SQL, Python, Spark, and PySpark and have hands-on experience with AWS and Databricks platforms. You will be responsible for implementing and maintaining data solutions on AWS and Databricks platforms.
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Minimum of 5 years' of hands-on experience with ServiceNow components such as Service Catalog, ITSM, CSM, Asset Management, Release Management, CMDB, Knowledge, Self-service Portal. Proficiency with SQL Query, HTML, XML, Java Script, Jelly, jQuery, Bootstrap, Angular JS.
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2+ years of hands-on experience in using Databricks platform. Hands on experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), Orchestration (Airflow, Prefect or equivalent.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem.
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Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred. Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
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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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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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