11+ Spark Jobs in Coimbatore | Spark Job openings in Coimbatore

We are seeking a motivated and skilled Technical Trainer to deliver effective training programs on technical subjects to students or employees, ensuring clear understanding and practical skill development. The trainer will design training content, conduct engaging sessions, and evaluate learner progress to enhance technical competency aligned with industry standards

About the Role

We’re looking for a Data Engineer who can turn messy, unstructured information into clean, usable insights. You’ll be building crawlers, integrating APIs, and setting up data flows that power our analytics and AI layers. If you love data plumbing as much as data puzzles — this role is for you.

Responsibilities

- Build and maintain Python-based data pipelines, crawlers, and integrations with 3rd-party APIs.

Perform brute-force analytics and exploratory data work on crawled datasets to surface trends and anomalies.

- Develop and maintain ETL workflows — from raw ingestion to clean, structured outputs.

- Collaborate with product and ML teams to make data discoverable, queryable, and actionable.

- Optimize data collection for performance, reliability, and scalability.

Requirements

- Strong proficiency in Python and Jupyter notebooks.

- Experience building web crawlers / scrapers and integrating with REST / GraphQL APIs.

- Solid understanding of data structures and algorithms (DSA).

- Comfort with quick, hands-on analytics — slicing and validating data directly.

Good to Have

- Experience with schema design and database modeling.

- Exposure to both SQL and NoSQL databases; familiarity with vector databases is a plus.

- Knowledge of data orchestration tools (Dagster preferred).

- Understanding of data lifecycle management — from raw to enriched layers.

Why Join Us

We’re not offering employment — we’re offering ownership.

If you’re here for a job, this isn’t your place.

We’re building the data spine of a new-age supply chain intelligence platform — and we need people who can crush constraints, move fast, and make impossible things work.

You’ll have room to think, build, break, and reinvent — not follow.

If you thrive in chaos and create clarity, you’ll fit right in.

Screening Challenge

Before we schedule a call, we have an exciting challenge for you. Please go through the link below and submit your solution to us with the Subject line: SUB: [Role] [Full Name]

Link - https://dub.sh/slooze-takehome

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Job description

We are seeking a skilled Level 1/Level 2 SAS Administrator with at least 3 years of experience to provide technical support to our US-based clients. This is an onsite role requiring availability during night shifts (US time zones). The successful candidate will be responsible for managing and maintaining SAS environments, troubleshooting technical issues, performing installations and upgrades, and ensuring optimal system performance. This role demands strong analytical and problem-solving skills to resolve complex challenges while providing proactive and reliable support.

Key Responsibilities:

• SAS Environment Management: Administer SAS servers and tools, including configuration, performance tuning, and routine maintenance of SAS applications.
• SAS Grid Management: Manage SAS Grid environments, ensuring efficient workload balancing and high availability.
• Metadata Management: Manage SAS metadata, including user account creation, role assignment, permissions, and library configuration.
• Issue Troubleshooting: Diagnose and resolve SAS server and application issues such as performance bottlenecks, user access problems, and system errors.
• System Administration: Perform SAS installations, upgrades, hotfixes, and patch management across development, testing, and production environments.
• SAS Migration & Upgrade: Plan and execute SAS environment migrations and upgrades with minimal downtime.
• Batch Job Management: Schedule and monitor batch jobs using tools such as SAS Flow Manager or LSF to ensure timely data processing and adherence to SLAs.
• Backup and Recovery: Conduct regular metadata and system backups, validate backup integrity, and manage restoration processes during disaster recovery scenarios.
• Incident Management: Manage tickets (e.g., P1, P2) for SAS-related issues using ITSM tools like ServiceNow or JIRA, ensuring timely resolution and communication updates.
• Security Management: Implement and review security policies, renew SAS licenses and SSL certificates, and conduct periodic access audits.
• Monitoring and Maintenance: Monitor SAS server health, analyze usage metrics and logs, and proactively address potential issues.
• Documentation: Develop and maintain comprehensive documentation for SAS environment configurations, troubleshooting procedures, and operational processes.

Required Qualifications:

• Minimum of 3 years of hands-on experience in SAS Administration, managing enterprise-level SAS environments.
• Expertise in SAS tools such as SAS Management Console, SAS Enterprise Guide, and SAS Studio.
• Strong understanding of operating systems (Linux/UNIX, Windows) and database systems (e.g., Teradata, Oracle, SQL).
• Experience with batch job scheduling and monitoring tools (e.g., Flow Manager, BMC Control-M).
• Proven experience troubleshooting SAS environment issues, including metadata management and performance tuning.
• Experience in SAS Grid, SAS Metadata, SAS Migration, and SAS Upgrades.
• Excellent verbal and written communication skills, with the ability to effectively interact with US-based clients.
• Willingness to work onsite during night shifts in alignment with US time zones.

If you are a dedicated SAS Administrator looking to work in a challenging and rewarding environment, we encourage you to apply.

We are looking "Mobile Developer" for Reputed Client @ Coimbatore Permanent Role.

Experience: 1-2 Yrs

Responsibilities: 

• Support the entire application lifecycle (concept, design, test, release and support)

• Develop APIs to support functionality of mobile devices

• Work closely with colleagues in marketing and product development to improve app design and functionality

• Implement testing procedures to identify bugs

• Engage with users to better understand customer needs and opportunities for improvements

• Adapt current web applications for mobile platforms

Job Qualifications and Skill Sets:

• Bachelor’s degree in computer science or equivalent

• Minimum 2 years of experience with system design, programming, and data structuring

• Experience programming in Flutter, Java, Native Android, React or Swift

• Experience with OOP design principles

• Excellent analytical and problem-solving skills

• Experience working in a team environment

• Excellent verbal and written communication skills

• Ability to distill complex technical plans into easily understandable concepts for executive reports

Job Description:



We are seeking a talented and experienced B2B SaaS SEO Content Writer to join our team. In this role, you will play a critical part in creating engaging and high-quality content for our SaaS (Software as a Service) business, targeting a B2B audience. Your primary focus will be on creating content that is optimized for search engines and designed to attract and engage potential customers.

Responsibilities:

• Produce well-researched, informative, and engaging content that aligns with our B2B SaaS industry, including blog posts, articles, whitepapers, case studies, and website content.
• SEO Optimization: Conduct keyword research to identify relevant search terms and phrases, and incorporate them into your content to maximize organic visibility.
• Collaborate with the marketing team to develop content strategies that align with business goals and industry trends.
• Promote your content through various channels, including social media, email marketing, and other online platforms, to increase reach and engagement.
• Create content that speaks directly to our target audience, addressing their pain points and providing valuable solutions.
• Stay current with SEO and content marketing best practices, industry trends, and competitors' strategies to continually improve our content efforts.

Qualifications:

• Experience/ knowledge in B2B SaaS content writing with a focus on SEO optimization.
• Exceptional writing and editing skills, crafting engaging and informative content.
• A strong understanding of SEO principles, keyword research, and on-page optimization.
• Familiarity with B2B SaaS and authoritative writing on related topics.
• Strong research skills to gather data, statistics, and insights to support your content.
• Track record producing content driving organic traffic, engagement, and conversion.
• Collaborative skills, meeting deadlines in a fast-paced, cross-functional setting.
• Proficiency with SEO and content marketing tools (SEMrush, Ahrefs, Google Analytics).

A portfolio of previous work showcasing your B2B SaaS and SEO content writing skills.

• Handle guest complaints assist with the check-in process and explain all facility amenities.
• Coordinating and multi-tasking job duties in a busy environment.
• Ensuring and providing flawless upscale professional and high-class guest service experiences.
• Analyzing customer feedback and providing strategic direction to continuously improve the overall rating.