11+ Vertica Jobs in Pune | Vertica Job openings in Pune

·       Primarily responsible for working on various service requests related to maintaining database security (roles, privileges, authentication), creating schema and copying data

·       Work on installation, configuration, creation and administration of HP Vertica database clusters and AWS RDS MySQL database.

·       Work with platform, product and other support teams to participate in release and change management processes to implement new features/functions as well support mandatory patches or upgrade activities on weekends.

·       Responsible for database performance tuning, query tuning and database operations including migration and upgrade.

·       Plan and implement periodic upgrades of database schema and perform testing and verification of released database schema upgrades.

·       Configure and manage database backup and restore, participate in Disaster Recovery

·       Create and maintain documentation, procedures and best practice guides for database deployment and maintenance.

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

Domain: - Investment Banking or Electronic Trading is mandatory

• Develop (Python/Py test) automation tests in all components (e.g. API testing, client-server testing, E2E testing etc.) to meet product requirements and customer usages
• Hands-On experience in Python
• Proficiency in test automation frameworks and tools such as Selenium, Cucumber.
• Experience working in a Microsoft Windows and Linux environment
• Experience using Postman and automated API testing
• Experience designing & executing load/stress and performance testing
• Experience using test cases & test execution management tools and issues management tools (e.g Jira), and development environments (like Visual Studio, IntelliJ, or Eclipse). 

Role: DevOps Engineer

Experience: 7+ Years

Location: Pune / Trivandrum

Work Mode: Hybrid

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

• Drive CI/CD pipelines for microservices and cloud architectures
• Design and operate cloud-native platforms (AWS/Azure)
• Manage Kubernetes/OpenShift clusters and containerized applications
• Develop automated pipelines and infrastructure scripts
• Collaborate with cross-functional teams on DevOps best practices
• Mentor development teams on continuous delivery and reliability
• Handle incident management, troubleshooting, and root cause analysis

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬:

• 7+ years in DevOps/SRE roles
• Strong experience with AWS or Azure
• Hands-on with Docker, Kubernetes, and/or OpenShift
• Proficiency in Jenkins, Git, Maven, JIRA
• Strong scripting skills (Shell, Python, Perl, Ruby, JavaScript)
• Solid networking knowledge and troubleshooting skills
• Excellent communication and collaboration abilities

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬:

• Experience with Helm, monitoring tools (Splunk, Grafana, New Relic, Datadog)
• Knowledge of Microservices and SOA architectures
• Familiarity with database technologies

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Role : Technical Developer

Experience : 6 - 9 years as SAP R3 Technical Developer

Skillset: 

·      Work experience in ABAP(RICEF),  

·      Experience in S-Note Implementation 

·      Expertise in DDIC objects( Tables, Structures, View, View Cluster) 

·      Expertise in debugging 

·      Experience in IDOCs 

·      Experience in BADI implementations, RFC 

·      Experience in Requirement routines, User Exits Enhancements 

·      Very good knowledge on SD module flow(VOFM , Output determination, Pricing) ,  

·      Hands-on experience in OO ABAP 

·      Good knowledge/ experience in O-data Services 

·      Work Experience/ good knowledge of Web-services/ Proxy 

·      Knowledge on Eclipse 

·      Using ABAP 7.5 syntax, ATC and Performance tuning techniques 

  (SM 12)  

·      Good to have knowledge on ADOBE 

·      Good to have S4 transformation knowledge

• Gathering information and documentation from clients
• Helping clients fill out immigration application forms
• Drafting submission letters
• Reviewing all documents to ensure they are accurate and meet government requirements
• Ensuring that deadlines are met
• Tracking the status of each application and keeping clients updated

Section A: Purpose of the Role:

To engage with CXOs across the world’s most successful companies and successfully sell new business opportunities to ensure MnM’s growth.

Section B: Job Description

B.1 Responsibilities:

• Generate sales revenue in line with the MnM’s objectives and goals
• Ensure strong focus is to hunt and sell to net new logos / net new client accounts within defined timelines
• Identify key decision makers and act as a strategic partner to C-level and senior executives within an assigned organization to drive revenues

to understand their issues/needs/priorities through a consultative selling approach

• Collaborate with internal resources (such as Research, Client Services) and external network to prioritize and penetrate key accounts; quickly build relationships with key stakeholders to drive revenues
• Leverage CRM as a tool to capture accurate sales pipeline management, develop strategic territory mapping and maintain forecast
• Manage sales forecast accuracy on a monthly/quarterly/annual basis and ensure that sales pipeline remains full of qualified leads & prospects
• Own the full sales cycle from prospecting through close and own the overall allocated sales quota
• Follow determined Sales best practices developed through collaboration with peers or delivered by Sales Learning and Development team.
• Maintain compliance in utilizing internal sales enablement tools and management processes
• Attend and participate actively on all internal team meetings. 

B.2 Communication  

• Internal Stakeholders: Internal teams such as Research, Sales, Web Marketing, Finance and Accounts, Events and Conferences, Human Resources
• External Stakeholders: Clients, Industry Experts, Government Agencies, Academia

Section C: Job Specifications

C.1 Skills:

• Excellent verbal and written communication skills

• Ability to engage with CXO, business leaders and build credibility and relationships
• Strong business development skills, telesales, outbound calling, communication and negotiation skills whenever required.
• Highly motivated individual with a passion for sales and an unyielding drive to succeed in an international selling environment
• Ability to comprehend and problem solve by thinking and acting quickly on your feet.

• Cultural Sensitivity in engaging with global clients

• Entrepreneurially minded individual with positive mindset capable of converting adversity into opportunity

C.2 Education:

• Essential: Bachelor’s degree
• Desirable: Master’s in Business Administration (MBA)

C.3 Prior Experience:

• 3+ years’ experience in product/solution/enterprise sales

• A consistent track record of overachievement in sales targets