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Position: Oracle DBA

Experience: 6–8 Years

Key Responsibilities:

Install, configure, and maintain Oracle databases in production and non-production environments.

Perform database tuning, backups, and recovery.

Monitor database performance and implement improvements.

Ensure data security and compliance with audit requirements.

Handle upgrades and patching of database environments.

Skills Required:

Strong experience with Oracle 11g/12c/19c.

Hands-on with RMAN, Data Guard, and Oracle RAC.

Proficient in writing complex SQL and PL/SQL.

Oracle Certified Professional (OCP) preferred.

Job Summary:

Seeking an experienced Senior Data Engineer to lead data ingestion, transformation, and optimization initiatives using the modern Apache and Azure data stack. The role involves working on scalable pipelines, large-scale distributed systems, and data lake management.

Core Responsibilities:

· Build and manage high-volume data pipelines using Spark/Databricks.

· Implement ELT frameworks using Azure Data Factory/Synapse Pipelines.

· Optimize large-scale datasets in Delta/Iceberg formats.

· Implement robust data quality, monitoring, and governance layers.

· Collaborate with Data Scientists, Analysts, and Business stakeholders.

Technical Stack:

· Big Data: Apache Spark, Kafka, Hive, Airflow, Hudi/Iceberg

· Cloud: Azure (Synapse, ADF, ADLS Gen2), Databricks, AWS (Glue/S3)

· Languages: Python, Scala, SQL

· Storage Formats: Delta Lake, Iceberg, Parquet, ORC

· CI/CD: Azure DevOps, Terraform (infra as code), Git

Senior Data Engineer (Apache Stack + Databricks/Synapse)

Share cv to

Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

• Budget: Management of budget for Hardware Asset Management tools, services and staffing (permanent and temporary)
• Talent management: Permanent, contract, temporary and graduate trainees
• Matrix management: Management of staff with Hardware Asset Management responsibility in other business units
• Lead third-party Hardware Asset Management resources: Supervisory responsibility for third-party resources supporting Hardware Asset Management activity
• Financial: Oversight of spending on technology asset support, which includes hardware, software, cloud services, support, maintenance and hardware disposal
• Environment: Endpoints and edge devices, software and service asset vendors, on-premises data center assets, and cloud services
• Other: Liability management and remediation tracking

The IT asset manager will:

• Ensure that appropriate resources (people, tools, services) and processes are in place to gather and analyze data relating to technology asset life cycles and related processes.
• Promote and advocate the value of Hardware Asset Management to various leaders. This includes developing and promoting effective Hardware Asset Management strategies, policy, approaches and practices across the full range of digital technology assets used within the organization.
• Identify and report on breaches of Hardware Asset Management policy, and track remedial action.
• Report on (or develop reporting on) remediation of digital technology asset-related risks and progress of optimization activity.
• Ensure accurate and timely reporting, and that data completeness and quality issues are quickly identified and escalated to the responsible data or process owners.
• Gather data on and provide analysis of all activities that have an impact on the value, cost and risk of digital technology asset life cycles.
• Provide finance with the data to support the analysis of digital technology asset project and maintenance budgets and business cases.
• Assign responsibilities for sub disciplines, such as IT asset disposition (ITAD).
• Ensure that Hardware Asset Management -related tools and services are properly evaluated, selected, implemented, configured and maintained, with appropriate integration with other sources of organizational data.
• Provide access to technology asset data in support of essential activities required to support the effective running of the business.
• Manage the everyday functions of the core Hardware Asset Management team. This includes staffing, budgeting and other relevant management functions required to hold all IT and business stakeholders accountable for optimizing the cost, risk and benefit of digital technology assets throughout their life cycle.
• Managing the deployment and collection of devices and other hardware assets to the associates or offices.

The IT asset manager acts in a leadership role and must demonstrate the following leadership attributes:

• Strategic thinking — An understanding of strategic business objectives and the ability to develop a vision and strategy for Hardware Asset Management and execute it effectively in order to drive results toward those objectives
• Interpersonal skills — Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated
• Strategic relationship management — Includes working with vendors during compliance audits
• Strategic vision — Ability to sense emerging needs and drive change as Hardware Asset Management develops and matures to meet organizational and technology challenges

The Hardware asset manager must have the following skills:

• Strong communication skills with a proven ability to understand key business and technical concepts, and then effectively communicate these concepts with technical staff, business stakeholders and senior management
• Strong organizational skills, the ability to perform under pressure and to manage multiple priorities with competing demands for resources
• Strong analytical, data processing and problem-solving skills
• Proficiency in process formulation and improvement
• Ability to read and interrupt contracts to properly manage digital technology, which includes license and maintenance agreements
• Ability to manage the deployment and collection of devices and other hardware assets to the associates or offices in a large scale. Demonstrable experience of managing assets in hundreds of thousands will be required.

The Hardware asset manager must have in-depth knowledge and experience of the following:

• Technology asset life cycle (whether digital technology, information, financial or physical assets), best practice governance, tools and services
• Policy, process, and procedure development and implementation
• Technology contracts and their likely cost implications through the technology asset life cycle
• Engagement with sourcing, procurement and vendor management legal, tax and accountancy advisors for additional information
• Data processing, analysis and quality management tools
• Ability to manage effective deployment, collection and disposition of assets and managing the devices through its lifecycle

Additionally, an understanding of IT business continuity, cybersecurity, and integrated risk management and optimization methodologies is highly desirable, along with knowledge of IT management.

The following experience is considered essential:

• A management role, including engagement with sourcing, procurement and vendor management, business stakeholders and frontline operational IT staff
• Prior Hardware Asset Management roles (hardware or software) or demonstrable experience of working with IT asset management professionals to deliver Hardware Asset Management capability and improved business outcomes
• Atleast 16 years of experience with IT, enterprise asset management or information management
• Demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients
• Demonstrated experience in liaising with middle and senior management
• Experience with building business requirements for digital technology tools and services, developing business cases, and selecting solutions using RFP documentation and processes
• Experience leading system or tool implementations, with responsibility for verifying capabilities, outputs, dependencies and implementation scope
• Experience managing deployment, collection and disposition of assets in a large scale with globally distributed workforce.

The following experience is considered desirable, but not mandatory:

• 13+ years of experience working in the working in a large IT/ITeS organization
• 13+ years of experience in managing external IT service providers handling digital technology assets
• Experience with ServiceNow platform

This is a sensitive role dealing with commercial risks and significant costs. The organization must have a high level of confidence in the integrity and track record of the individual appointed to this role.

The following certifications are considered desirable, but not mandatory:

• ITIL v3 Foundation certification
• Certified IT Asset Manager
• COBIT 5 Foundation

• An undergraduate or postgraduate degree in finance, IT, engineering, business management or a related field
• Tertiary qualifications in financial accounting, project management or data analysis, or a legal or paralegal qualification that includes contract, copyright or intellectual property law are preferred

Qualifications & Skills

• Proven track record in delivering Data Governance Solutions to a large enterprise
• Knowledge experience in data governance frameworks, formulating data governance policy, standards and processes
• Experience in program management and managing cross functional stakeholders from senior leadership to project manager level
• Experience in leading a team of data governance business analysts
• Experience in data governance tools like Informatica Data Quality, Enterprise Data Catalog, Axon, Collibra
• Experience in metadata management, master and reference data management, data quality and data governance

• Strong Knowledge in Oracle Forms and Reports
• Should be familiar with various triggers, events , canvas, master child forms, record groups , build-ins, properties etc., in Forms and reports
• Strong Knowledge in SQL / PLSQL concepts
• Strong in Analytical and Aggregate functions
• Strong in writing Procedure / Function / Packages
• Strong knowledge in the user of Cursors / Collections / Exception handling
• Strong in Datatypes, Constrainsts , index
• Having exposure to JavaScript and ReactJS will be an added advantage

Linarc is a Silicon Valley startup and has an engineering office in Chennai, India. We are building the first integrated project management and operations support platform for the field services industry.

We are looking for an experienced backend engineer to build the heart of our platform and services. We value skills over credentials, building things rather than what college or company you worked at and expertise over experience.

What does an ideal candidate look like?

• You have worked in a team to develop complex apps. Experience building SaaS apps is a strong plus. You can work on both backend and frontend, and you specialise in frontend engineering.
• You have 3+ years of full stack development experience, a large part of which is deep frontend development.
• You have extensive knowledge of one of Vue.js, React or Angular. We use Vue.js, but are open to working with people who have worked on modern JS stacks.
• You have extensive experience of working with RESTful APIs.
• Deep understanding of Git and other collaboration tools. Do you know and use git-flow? Do you have strong opinions about git branching and release strategies? Do you use CI? Good, we would love to talk to you.

• We would love it if you have experience with one or more of Firebase/Redis/Mongo/Postgres and other backend experience, but this is not required.
• We would love it if you have experience with AWS OR other public cloud providers, but this is not required.
• High capacity for precision and attention to detail
• Ability to meet tight deadlines
• Can work independently and  should have experience in managing a  team of front end developers.

• Mandatory skills: Spring boot, Hibernate, Microservice
• Strong Java skills including Java 8 features 
• Good understanding of Microservices-based architecture and the related ecosystem 
• Exposure to MS SQL Server, Sybase etc. and NoSQL databases like MongoDB is also preferred.
• Great OO skills, including strong design patterns knowledge 
• Strong knowledge of software best practices, like Test-Driven Development (TDD) and
• Continuous Integration (CI) 
• Strong Knowledge of Data Structures & Algorithms
• Experience in working with data-driven RESTful APIs using web frameworks like SpringBoot,etc. 
• Should be able to do data modeling
• Good understanding of ORMs like Hibernate, JPA, etc. 
• Strong debugging skills
• Familiarity with architectural/ design patterns
• Advanced knowledge of Agile methodology.