- Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
- Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
- Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
- Design, develop and maintain the framework for the analytics solutions pipeline
- Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
- Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
- Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

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Azure DE
Primary Responsibilities -
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
- Use Azure Data Factory and Databricks to assemble large, complex data sets
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Ensure data security and compliance
- Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
Required skills:
- Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
- Azure DevOps
- Apache Spark, Python
- SQL proficiency
- Azure Databricks knowledge
- Big data technologies
The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).
Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.
About the role:
We are seeking a highly skilled Azure DevOps Engineer with a strong background in backend development to join our rapidly growing team. The ideal candidate will have a minimum of 4 years of experience and has have extensive experience in building and maintaining CI/CD pipelines, automating deployment processes, and optimizing infrastructure on Azure. Additionally, expertise in backend technologies and development frameworks is required to collaborate effectively with the development team in delivering scalable and efficient solutions.
Responsibilities
- Collaborate with development and operations teams to implement continuous integration and deployment processes.
- Automate infrastructure provisioning, configuration management, and application deployment using tools such as Ansible, and Jenkins.
- Design, implement, and maintain Azure DevOps pipelines for continuous integration and continuous delivery (CI/CD)
- Develop and maintain build and deployment pipelines, ensuring that they are scalable, secure, and reliable.
- Monitor and maintain the health of the production infrastructure, including load balancers, databases, and application servers.
- Automate the software development and delivery lifecycle, including code building, testing, deployment, and release.
- Familiarity with Azure CLI, Azure REST APIs, Azure Resource Manager template, Azure billing/cost management and the Azure Management Console
- Must have experience of any one of the programming language (Java, .Net, Python )
- Ensure high availability of the production environment by implementing disaster recovery and business continuity plans.
- Build and maintain monitoring, alerting, and trending operational tools (CloudWatch, New Relic, Splunk, ELK, Grafana, Nagios).
- Stay up to date with new technologies and trends in DevOps and make recommendations for improvements to existing processes and infrastructure.
- ontribute to backend development projects, ensuring robust and scalable solutions.
- Work closely with the development team to understand application requirements and provide technical expertise in backend architecture.
- Design and implement database schemas.
- Identify and implement opportunities for performance optimization and scalability of backend systems.
- Participate in code reviews, architectural discussions, and sprint planning sessions.
- Stay updated with the latest Azure technologies, tools, and best practices to continuously improve our development and deployment processes.
- Mentor junior team members and provide guidance and training on best practices in DevOps.
Required Qualifications
- BS/MS in Computer Science, Engineering, or a related field
- 4+ years of experience as an Azure DevOps Engineer (or similar role) with experience in backed development.
- Strong understanding of CI/CD principles and practices.
- Expertise in Azure DevOps services, including Azure Pipelines, Azure Repos, and Azure Boards.
- Experience with infrastructure automation tools like Terraform or Ansible.
- Proficient in scripting languages like PowerShell or Python.
- Experience with Linux and Windows server administration.
- Strong understanding of backend development principles and technologies.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Problem-solving and analytical skills.
- Experience with industry frameworks and methodologies: ITIL/Agile/Scrum/DevOps
- Excellent problem-solving, critical thinking, and communication skills.
- Have worked in a product based company.
What we offer:
- Competitive salary and benefits package
- Opportunity for growth and advancement within the company
- Collaborative, dynamic, and fun work environment
- Possibility to work with cutting-edge technologies and innovative projects
Job Description
- Ensure hardware quality by performing client's qualification tests on servers and components
- Draft organized and detailed qual reports of tests showing outputs and PASS/FAIL results
- Debug HW issues found during tests by running investigative steps such as reproduction tests, problem isolation and fix verification.
- Prepare servers for test by validating HW config and updating FW
- Provide progress updates of tests on a regular basis in task tracker
- Attend stakeholder meetings to provide updates to open qualifications
- Support building out diagnostic definitions for hardware failures
Qualifications
- 5+ years of BMC test experience
- Experience with data center server (x86) and component testing and debug - CPU, DIMM, Motherboard, BMC, SATA/NVME Drive, NIC, PSU
- Experience with data center server FW component testing and debug - BIOS, BMC/IPMI/redfish, Drive FW, NIC FW, RAID FW, CPLD
- Experience with Linux shell/bash scripting to support HW testing
- Experience on Python automation
Role: Oracle Apps DBA Consultant
Exp: 4-6 years
As Oracle Apps DBA, able to implement Patching, Cloning, Backup and restoring RMAN. Having experience in Oracle 11i RAC, ERP 12.2 & experience in Performance tuning.
Responsibilities:
- · The Oracle Applications DBA will be responsible for the overall management and maintenance of Oracle EBS R12.2 applications & database, and other non-ERP Oracle databases.
- · The DBA will provide technical and operational DBA support for the day to day operations on ERP oracle database, ERP applications, and non-ERP Oracle databases for data warehouse and other applications.
- · The DBA will partner with technical, functional, development and business groups to ensure that database performance standards adhere to enterprise service level agreements
- Excellent working knowledge of OOPs, SOLID principles and different design patterns.
- Solid hands on experience and deep understanding of different architectures.
- Solid working knowledge of Objective C and Swift, iOS application development and iOS fundamentals.
- Proficient with general swift language features, collections, protocol oriented programming, etc.
- Hands on experience of implementing architecture patterns and designing/implementing unit test cases using XCTest & other third party libraries.
- Solid working experience of debugging, profiling tools, developer portal and App Store release process.
- Excellent analytical and problem solving skills.
| CI/CD tools Jenkins/Bamboo/Teamcity/CircleCI, DevSecOps Pipeline, Cloud Services (AWS/Azure/GCP), Ansible, Terraform, Docker, Helm, Cloud formation template, Webserver deployment & config, Databases(SQL/NoSQL) deployment & config, Git, Artifactory, Monitoring tools (Nagios, Grafana, Prometheus etc), Application logs (ELK/EFK, Splunk etc.), API Gateways, Security tools, Vault. |
• They have to generate leads, make sales calls, and update the CRM database.
• Sales executives have to meet with new and existing customers of their organization.
Job Description:
Experience - 2 to 5 Years
- Sound understanding of Google Cloud Platform
- Should have worked on Big Query, Workflow or Composer
- Experience of migrating to GCP and integration projects on large-scale environments
- ETL technical design, development and support
- Good in SQL skills and Unix Scripting
- Programming experience with Python, Java or Spark would be desirable, but not essential
- Good Communication skills .
- Experience of SOA and services-based data solutions, would be advantageous
Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.
Responsibilities and Duties :
- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.
- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
Education level :
- Bachelor's degree in Computer Science or equivalent
Experience :
- Minimum 5+ years relevant experience working on production grade projects experience in hands on, end to end software development
- Expertise in application, data and infrastructure architecture disciplines
- Expert designing data integrations using ETL and other data integration patterns
- Advanced knowledge of architecture, design and business processes
Proficiency in :
- Modern programming languages like Java, Python, Scala
- Big Data technologies Hadoop, Spark, HIVE, Kafka
- Writing decently optimized SQL queries
- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)
- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.
- Experience generating physical data models and the associated DDL from logical data models.
- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.
- Experience enforcing data modeling standards and procedures.
- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Skills :
Must Know :
- Core big-data concepts
- Spark - PySpark/Scala
- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)
- Handling of various file formats
- Cloud platform - AWS/Azure/GCP
- Orchestration tool - Airflow
*>Well proven experience in JavaScript frameworks like NodeJS, JQuery, ReactJS
*>Knowledge on Node.js and frameworks such as Express JS , require JS etc.
*>Thorough understanding of React.js and its core principles
*>Familiar with newer specifications of EcmaScript and modern authentication mechanisms like JSON web tokens
*>Must have strong experience in Relational databases like MYSQL etc. and NoSQL databases like MongoDB, Cassandra etc.
*>Experience in cloud technologies like GCP, Azure is must
*>Should be able to work independently as well as lead the teams.
*>Knowledge on chatbot frameworks such as Microsoft Bot Framework
*>Experience in HTML5, CSS3, SASS, LESS is an added advantage







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