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Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Job Title: Inside Sales (Internship)

Location: Baner, Pune

Experience: 0–1 year (Freshers with strong communication skills are encouraged to apply)

Employment Type: Internship | Work From Office

About the Role

We are looking for a motivated and enthusiastic Inside Sales Specialist who is eager to begin their career in B2B outbound sales. In this role, you will learn how to identify potential clients, build connections through email and LinkedIn outreach, and support the sales team in generating high-quality leads across international regions such as DACH, BENELUX, and the UK.

This is a great opportunity for freshers who want to build a strong foundation in international inside sales and lead generation.

Key Responsibilities

• Support in generating qualified B2B leads through cold calls, emails, and LinkedIn outreach.
• Assist in planning and executing targeted email and LinkedIn campaigns.
• Manage timely follow-ups and help schedule meetings with potential clients.
• Maintain and update CRM systems with accurate lead data.
• Work closely with the sales and marketing teams to refine outreach strategies.
• Learn to identify new markets, decision-makers, and business opportunities in international regions.
• Contribute to achieving monthly outbound lead generation targets.

Required Skills & Competencies

• Freshers or up to 1 year of experience in Inside Sales / Lead Generation.
• Excellent communication and interpersonal skills in English.
• Strong interest in B2B sales, international outreach, and customer engagement.
• Basic understanding of LinkedIn outreach, cold emailing, or sales tools is an added advantage.
• Ability to research, analyse, and engage with the right prospects.
• Highly motivated, target-driven, and willing to learn and grow in a fast-paced environment.

Job Title: Consultant - Software Engineer

Location: IN-MH-Pune

Responsibilities:

Indicative years of experience: 8-10 years

Role Description:

Consultant - Software Engineer / Solution Lead role is responsible for providing design solutions to meet business requirements, 

combining system and technical understanding.  

 Must be having atleast 8+ years of experience with modern web technologies, preferably with React/TypeScript

• Must be having hands-on experience with AWS - Serverless, CDK (Key services - API Gateway, Lambda, DynamoDB, CloudFront)

• Experience in creating new- reference architectures and patterns, execute POCs and establish reference implementations

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/

About the company:

Our client is a start-up organization founded in 2014 by experienced professionals and is now in its 22nd year of serving global customers after merging with 4Cplus. They specialise in Management Consulting, Technology Services, and Business Transformation Outsourcing, committed to providing their customers with exceptional experiences.

Location: Mumbai, Pune

About the role:

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions within the SAP landscape.
• Lead and actively participate in at least 4 end-to-end implementation projects and provide expertise throughout the project lifecycle.
• Provide support for multiple SAP projects, ensuring the highest level of system availability and performance.
• Install, configure, and upgrade SAP systems, including SAP NetWeaver, SAP S/4HANA, and related components.
• Utilize your in-depth knowledge of operating systems (Windows, Linux, Unix) and system architecture to optimize system performance and stability.
• Work with ticketing systems to manage and prioritize support requests, ensuring timely resolution and effective communication.
• Organize SAP Basis tasks and coordinate closely with customers and other teams within the organization.
• Manage SAP databases, including MS-SQL, Oracle, DB2, Sybase, and Hana, ensuring data integrity and efficient performance.
• Perform system monitoring, performance tuning, and troubleshooting to maintain optimal system performance.
• Implement security measures, user authentication, and authorization protocols to ensure data integrity and system security.
• Execute regular system backups, disaster recovery planning, and testing to ensure data integrity and business continuity.
• Collaborate with functional teams to support system configuration, enhancements, and customizations to meet business requirements.
• Maintain documentation related to system architecture, configurations, and standard operating procedures.
• Stay current with industry trends, best practices, and advancements in SAP technology to provide innovative solutions and recommendations.

Qualifications & Skills:

• Years of Experience: 4 – 6 in SAP BASIS
• Should have hands-on working experience in at least 1 end to end implementation project, 2 support projects, 1 upgrade and 1 migration project
• Should have experience of client-facing roles
• Should have excellent communication skills

Should have experience of working on the following:

• SAP System Installation and Configuration (L1/L2)
• SAP System Support Packages Upgrades and Patching (L1/L2)
• SAP System Performance Tuning (L1/L2)
• SAP Transport Management (L1/L2)
• SAP Backup and Recovery (L1/L2)
• SAP User Administration (L1/L2)
• SAP Kernel Upgrades (L1/L2)
• Database Administration (e.g., Oracle, SAP HANA) (L1/L2)
• SAP Solution Manager (L1/L2)
• AWS / Azure / GCP Cloud Basis Skills (L1/L2)
• Troubleshooting SAP System Issues (L1/L2)
• Documentation and Reporting (L1/L2)
• SAP HANA Administration (L1/L2)
• Knowledge of SAP Basis Best Practices (L1/L2)
• Scripting and Automation (e.g., PowerShell, Bash) (L1/L2)
• Operating system (L1/L2)
• Communication and Collaboration Skills (L1/L2)

• Design and implement effective database solutions and models to store and retrieve company data.
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations.
• Install and organize information systems to guarantee company functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
• Oversee the migration of data from legacy systems to new solutions.
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
• Recommend solutions to improve new and existing database systems.
• Educate staff members through training and individual support.
• Offer support by responding to system problems in a timely manner.

Our client is the fastest growing company in the space of student mobility in Asia Pacific as per Financial times.

More about them

- Long-term accommodation booking platform for students (think booking.com for student housing).

- Helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, nonstandardized and cumbersome paperwork, and broken payment process.

- Leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.

- Growing rapidly and targeting $400M in annual gross bookings value by 2022.

• Develop client projects using Asp.net core 3.1 and above, MySQL Database, Azure Functions, CosmosDB, C#.
• Communicate with external clients on a regular basis regarding progress, challenges, timelines and results of client projects
• Gather technical requirements as needed
• Create and update, design and functional documents
• Identify and troubleshoot issues as needed
• Perform a new development as required
• Implement project applications according to specifications
• Research technical issues and provide recommendations to enhance client websites
• Work both independently and as part of a team to create reliable and high-performing Web Applications
• Unit test code to ensure quality

• Develop client projects using Asp.net core 3.1 and above, MySQL Database, Azure Functions, CosmosDB, C#.
• Communicate with external clients on a regular basis regarding progress, challenges, timelines and results of client projects
• Gather technical requirements as needed
• Create and update, design and functional documents
• Identify and troubleshoot issues as needed
• Perform a new development as required
• Implement project applications according to specifications
• Research technical issues and provide recommendations to enhance client websites
• Work both independently and as part of a team to create reliable and high-performing Web Applications
• Unit test code to ensure quality

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Should be familiar with Agile methodologies.

Participating in the design and creation of scalable software Writing clean, functional code on the front- and back-end Testing and fixing bugs or other coding issues Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software

Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind

B.E/B.Tech/MCA/MCS/BCS

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server