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      • bengaluru / bangalore
      • permanent
      • 6 months
      Orace HCM demands
      Orace HCM demands
      • bengaluru / bangalore
      • permanent
      • 12
      Request for QA with experience in ETL testing for Data Analytics Dashboard with overall understanding of E2E data flow and validate the automated data extraaction process.Besides, candidate should have proficieny in report data validation to ensure reconcilation with data extracted from varied source system.Professional work experience as cloud data Tester in Microsoft AzureExperience of 6-8 years• Well versed with ETL tools - SQL Server/Oracle/SAP HANA• Must possess programming skills with SQL, Spark SQL and Python/scala.• Should be able to learn and work on any programming language especially on Spark platform• Exposure to Azure Data Factory, Azure Synapse, Azure Databricks, and Azure SQL DB• Should be able to provision and set up data platform technologies and Test environment in the cloud.• Well versed with relational databases, nonrelational databases, data streams, and file stores.Must have good hands-on experience in creating Stored Procedures, Functions, Tables, Cursors, Hash tables and handling large data types.• Can explore how the advent of cloud technologies is providing new opportunities for businesses to explore• Learn the various data platform technologies that are available, and how to take advantage of the available technologies for organizational benefit• Manage, monitor, and ensure the security and privacy of data to satisfy business need
      Request for QA with experience in ETL testing for Data Analytics Dashboard with overall understanding of E2E data flow and validate the automated data extraaction process.Besides, candidate should have proficieny in report data validation to ensure reconcilation with data extracted from varied source system.Professional work experience as cloud data Tester in Microsoft AzureExperience of 6-8 years• Well versed with ETL tools - SQL Server/Oracle/SAP HANA• Must possess programming skills with SQL, Spark SQL and Python/scala.• Should be able to learn and work on any programming language especially on Spark platform• Exposure to Azure Data Factory, Azure Synapse, Azure Databricks, and Azure SQL DB• Should be able to provision and set up data platform technologies and Test environment in the cloud.• Well versed with relational databases, nonrelational databases, data streams, and file stores.Must have good hands-on experience in creating Stored Procedures, Functions, Tables, Cursors, Hash tables and handling large data types.• Can explore how the advent of cloud technologies is providing new opportunities for businesses to explore• Learn the various data platform technologies that are available, and how to take advantage of the available technologies for organizational benefit• Manage, monitor, and ensure the security and privacy of data to satisfy business need
      • bengaluru / bangalore
      • permanent
      • 12 months
      What you'll doBuild a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decisionImplement scalable machine learning algorithms that will be used in production on big data.Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization. Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.Help define and track the appropriate key metrics for specific projects. Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.What you'll need7+ years experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.Strong problem solving and coding skills.Strong experience in leading cross-functional teams and projects from a technical and data science perspective.Solid knowledge of and experience with the payment channels, pay terms, banking and payments services, and the payments regulatory landscape, preferably in MENA regionSolid understanding of digital wallet use cases and potential risks associated with themFluency in English along with excellent oral and written communication skills.Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark, Hive.Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) is a plus.Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is also a plus.Knowledge of Agile methodologies.Where you'll beThis role is part of a remote distributed team! This means you can be based in any of the countries where we currently have an engineering site. If you would like to join us in Dubai, Berlin, Poland, Pakistan, Egypt, Lebanon or Jordan, that's fine with us (Visa permitting)!Even though we are working remotely, we are strong believers in collaboration and the power of building social connections with our teams. For that reason, our offices are still open and provide plenty of collaboration-friendly spaces at times when teams need it or if you need a quiet space to work outside of home. You’ll be working in the location you’re hired from. Due to legal and compensation considerations, you will need to be based out of the country you’re hired from as your primary work location.  
      What you'll doBuild a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decisionImplement scalable machine learning algorithms that will be used in production on big data.Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization. Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.Help define and track the appropriate key metrics for specific projects. Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.What you'll need7+ years experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.Strong problem solving and coding skills.Strong experience in leading cross-functional teams and projects from a technical and data science perspective.Solid knowledge of and experience with the payment channels, pay terms, banking and payments services, and the payments regulatory landscape, preferably in MENA regionSolid understanding of digital wallet use cases and potential risks associated with themFluency in English along with excellent oral and written communication skills.Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark, Hive.Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) is a plus.Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is also a plus.Knowledge of Agile methodologies.Where you'll beThis role is part of a remote distributed team! This means you can be based in any of the countries where we currently have an engineering site. If you would like to join us in Dubai, Berlin, Poland, Pakistan, Egypt, Lebanon or Jordan, that's fine with us (Visa permitting)!Even though we are working remotely, we are strong believers in collaboration and the power of building social connections with our teams. For that reason, our offices are still open and provide plenty of collaboration-friendly spaces at times when teams need it or if you need a quiet space to work outside of home. You’ll be working in the location you’re hired from. Due to legal and compensation considerations, you will need to be based out of the country you’re hired from as your primary work location.  
      • bengaluru / bangalore
      • permanent
      • 12 months
      Top Skills:o True Engineer – understanding the product, administration, installation, maintenance, working with developers who are leveraging the producto Heavy experience with Red Hat Open Shift product (they’ll be supporting this) with OpenShift v3.11 as well as OpenShift v4.xo Mainly support work but also will help with design work Job Description:                    •         4+ Years of experience of container technology, OpenShift Container Platform, Kubernetes•         5+ Years of experience in designing and supporting Enterprise Infrastructure•         5+ years of depth knowledge of Linux Operating system and VMware hypervisor•         5+ Years of experience in designing and implementing new on-premises and Public cloud resources while implementing best practices and industry standards•         3+ Years of experience in migrating on-premises infrastructure to Public cloud•         3+ Years of experience working in container platform monitoring and alerts for resource availability such as Prometheus, App Dynamics, Dynatrace•         2+ years of experience working in environment having different Public Cloud services (EC2, S3, VPCs, Subnets, SG’s, Resource Groups, etc.) deployment•         Deep understanding of system capacity and availability concepts•         High degree of knowledge in IAM Roles, Policies and RBAC•         High degree of knowledge in IT security•         Understand enterprise level application architecture diagrams•         Strong problem determination and debugging skills•         Knowledge in automation and scripting languages•         High degree of knowledge in networking and load balancer such as Big IP (F5) •         Proficiency in Linux OS, shell scripting, Ansible/Puppet scripting•         Work closely with application development on day-to-day tasks along with project planning and implementation•         Demonstrated experience utilizing verbal and written communication and conversation skills•         Highly skilled negotiator with proven ability to reach mutually satisfactory agreements by using a persuasive communication style Preferred Qualifications  •           Vast understanding of cloud services and solutions in platforms such as Azure•           Experience working with Azure PaaS, Azure networking, and Azure site reliability solutions (specific examples of each will be requested)•           Strong practical knowledge of Linux server operating systems (on-premises & IaaS)•           Experience with DevSecOps •           Experience with Container image scanning tool such as Prisma•           Familiarity with AWS, Azure and other public and private cloud services•           Knowledge of one or more middleware and database technologies (WebSphere Liberty, JBoss EAP, DB2, Oracle, SQL Server, MongoDB)  Notes -Schedule -                                                                                                                                                Western European Time         9am - 6pm or 10am - - 7PM This role includes an on-call support which is 24*7 during engineer’s oncall coverage. As of now, our on call rotation is about every 4 weeks covering 7 days.Will use comp time to balance off 40 hour work weeks.   
      Top Skills:o True Engineer – understanding the product, administration, installation, maintenance, working with developers who are leveraging the producto Heavy experience with Red Hat Open Shift product (they’ll be supporting this) with OpenShift v3.11 as well as OpenShift v4.xo Mainly support work but also will help with design work Job Description:                    •         4+ Years of experience of container technology, OpenShift Container Platform, Kubernetes•         5+ Years of experience in designing and supporting Enterprise Infrastructure•         5+ years of depth knowledge of Linux Operating system and VMware hypervisor•         5+ Years of experience in designing and implementing new on-premises and Public cloud resources while implementing best practices and industry standards•         3+ Years of experience in migrating on-premises infrastructure to Public cloud•         3+ Years of experience working in container platform monitoring and alerts for resource availability such as Prometheus, App Dynamics, Dynatrace•         2+ years of experience working in environment having different Public Cloud services (EC2, S3, VPCs, Subnets, SG’s, Resource Groups, etc.) deployment•         Deep understanding of system capacity and availability concepts•         High degree of knowledge in IAM Roles, Policies and RBAC•         High degree of knowledge in IT security•         Understand enterprise level application architecture diagrams•         Strong problem determination and debugging skills•         Knowledge in automation and scripting languages•         High degree of knowledge in networking and load balancer such as Big IP (F5) •         Proficiency in Linux OS, shell scripting, Ansible/Puppet scripting•         Work closely with application development on day-to-day tasks along with project planning and implementation•         Demonstrated experience utilizing verbal and written communication and conversation skills•         Highly skilled negotiator with proven ability to reach mutually satisfactory agreements by using a persuasive communication style Preferred Qualifications  •           Vast understanding of cloud services and solutions in platforms such as Azure•           Experience working with Azure PaaS, Azure networking, and Azure site reliability solutions (specific examples of each will be requested)•           Strong practical knowledge of Linux server operating systems (on-premises & IaaS)•           Experience with DevSecOps •           Experience with Container image scanning tool such as Prisma•           Familiarity with AWS, Azure and other public and private cloud services•           Knowledge of one or more middleware and database technologies (WebSphere Liberty, JBoss EAP, DB2, Oracle, SQL Server, MongoDB)  Notes -Schedule -                                                                                                                                                Western European Time         9am - 6pm or 10am - - 7PM This role includes an on-call support which is 24*7 during engineer’s oncall coverage. As of now, our on call rotation is about every 4 weeks covering 7 days.Will use comp time to balance off 40 hour work weeks.   

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