
Job Description:
As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:
Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.
Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.
Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.
Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.
Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.
Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.
Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.
Skills and Qualifications:
Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.
Proficiency in designing and developing data pipelines and ETL processes.
Solid understanding of data modeling concepts and database design principles.
Familiarity with data integration and orchestration using Azure Data Factory.
Knowledge of data quality management and data governance practices.
Experience with performance tuning and optimization of data pipelines.
Strong problem-solving and troubleshooting skills related to data engineering.
Excellent collaboration and communication skills to work effectively in cross-functional teams.
Understanding of cloud computing principles and experience with Azure services.

About Epik Solutions
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This opportunity through ClanX is for Hudl (direct payroll with Hudl)
Please note you would be interviewed for this role at Hudl while ClanX is a recruitment partner helping Hudl find the right candidates and manage the hiring process.
About the company:
Hudl is a global sports technology company helping teams and athletes capture video, analyze performance, and share insights. Hudl supports sports at all levels through products like Hudl Assist, Wyscout, Instat, and Volleymetrics.
Requirements:
- 4+ years of commercial experience in full-stack development
- Experience across frontend, backend, and database layers
- Exposure to C# and TypeScript is a strong plus
- Cloud experience, preferably AWS
- Strong English communication skills
- Comfortable working on ambiguous problem statements
- Experience collaborating with remote, cross-cultural teams
- Currently working at a product based organsiation
Responsibilities:
- Build and enhance full-stack web features across multiple Hudl products
- Develop and optimize internal tools and workflows for sports analysts
- Improve queue systems and operational efficiency for game analysis
- Collaborate with Engineering, QA, Product, Design, and Scrum teams
- Propose technical solutions and support junior engineers
- Contribute to rapid iteration and frequent production deployments
Interview Process
- HR Screening
- Online Assignment
- Panel Technical Round
- Final Round – Technical and Culture Fit
Position: Sales Manager – ALC Wall Panels
Industry: Building Materials / Construction
Location: Indore, Madhya Pradesh, Hyderabad, Surat
Experience: 7+ Years (Specific to ALC Panels / Wall Panels / Lightweight Building Materials)
Qualification: Graduate in Civil/Mechanical Engineering or MBA in Marketing (preferred)
Employment Type: Full-Time
Job Summary:
We are seeking a result-oriented and experienced Sales Manager to drive business development and sales for ALC Wall Panels in the Indore region. The ideal candidate should have in-depth industry knowledge, a strong network with architects, contractors, builders, and dealers, and proven success in technical sales of building materials.
Key Responsibilities:
- Develop and implement sales strategies to promote ALC wall panels in the Indore and surrounding markets
- Identify and onboard new clients including builders, developers, architects, contractors, and construction companies
- Build and manage relationships with key decision-makers for project conversion
- Achieve monthly and quarterly sales targets through B2B and project-based sales
- Conduct technical presentations and product demonstrations at project sites or client offices
- Handle pre-sales and post-sales coordination, including pricing, quotations, and product support
- Monitor market trends, competition, and customer feedback for business growth
- Coordinate with the production and logistics teams to ensure timely delivery and client satisfaction
- Maintain detailed records of leads, sales pipeline, and client communication
- Represent the company in industry exhibitions, events, and networking meets
Desired Candidate Profile:
- Minimum 7 years of experience in sales of ALC panels, drywall solutions, AAC blocks, readymade wall panels, or similar lightweight building materials
- Strong network in the construction and real estate industry across MP region
- Good understanding of civil construction processes and panel applications
- Excellent communication, negotiation, and presentation skills
- Self-driven, target-oriented, and able to work independently
- Proficient in CRM tools, MS Office, and reporting
Mail updated resume with current salay-
Email: etalenthire[at]gmail[dot com
Satish: 88O 274 97 43
Website: www.glansolutions.com
Google search: Glan Management Consultancy
1. Design and implement RESTful APIs
2. Optimize the performance of applications for full-scale production deployments
3. Test software to ensure responsiveness and efficiency
4. Participate in code reviews
5. Write clean, scalable & efficient code along with technical documentation
Requirements:
1. 2+ years of backend development experience along with a degree in Computer Science, Statistics, or a relevant field
2. Sound knowledge and application of algorithms and data structures with space and complexities
3. Hands-on experience with JavaScript and Node.js
4. Knowledge of scripting languages like Python is a plus point.
5. Effective communication skills: Regularly achieve consensus with peers and clear status updates
6. A willingness to learn new technology, whatever lets you deliver the best product
Benefits:
1. You get to work in a liberal environment with some of the best engineers and entrepreneurs
2. Competitive CTC along with the opportunity to receive ESOPs/Tokens
3. Remote work culture
Bonus Points:
1. Understanding of web3 concepts
2. Experience working in blockchain or fintech space
3. Founded or have worked as a founding engineer in a startup previously.
4. Experience working with a remote team
Required Skills: Cold Calling, Email Campaign, Professional Networks (LinkedIn)
- Thorough understanding of IT products and services.
- Proficient in mining & managing data through database portals & professional networks.
- Generate appointments through activities like cold calls, email campaigns, and professional networking.
- Ensure accurate procedures are followed for cold calling, email campaigns, and professional networking activities to generate appointments.
- Maintain a systematic follow-up process to nurture leads not yet ready for an appointment.
- Proficiency in using the Zoho CRM system
- Meet quarterly and yearly targets as assigned.
- Maintain a healthy lead-generation pipeline.
Expectations:
- Excellent communication, interpersonal, and phone skills
- Ability to set up appointments proficiently using all inside sales activities.
- Proven track record in cold calling, email marketing, lead generation, and networking with professionals
- Able to thrive in a fast-paced environment and consistently meet deadlines.
- Self-motivated with strong multitasking abilities, able to work independently or collaboratively within a team.
- Familiarity with CRM, major database portals and professional networking platforms
Senior Data Scientist-Job Description
The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions. She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.
Key Responsibilities:
- Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
- Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
- Generate clearly understood and intuitive data science / advanced analytics outputs.
- Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
- Participate in best practice sharing and communication platform for advancement of the data science discipline.
- Coach and collaborate with other data scientists and data analysts.
- Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
- Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.
Qualification:
- Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
- 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
- Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
- Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
- Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
- Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
- Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
- Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
- Strong written and verbal communications skills, as well as presentation skills.
● You should be able to take ownership of a project end to end.
● Your primary focus will be to build, implement & maintain the complete back-end stack of the product.
● You will create production-grade code and will implement the solutions which run bug-free.
● Participate in product development discussions and product development road-maps.
● Collaborate with members across departments to identify and build on
improvements to products, processes, and systems.
Required Experience and Qualifications:
2 to 6 years of software development experience.
● Experience in working on application architecture design will be preferred.
● Experience in working on at least 1 or 2 projects, managing or leading the entire
tasks.
● Experience in Docker/Kubernetes, Agile methodologies & CI/CD automation process.
● Knowledge of Queueing technologies like Kafka, RabbitMQ, ActiveMQ, and Version control using Git.
● Experience in microservices architecture, in-memory systems like Redis and basic knowledge of Linux/Unix systems.
● Experience in building applications processing large volumes of streaming data will be preferred.
● Experience from a middle size company or from a startup will be preferred.
● BE/MCA/MSc in Computers/Information technology with a good academic record.
About Us
Zupee is India’s fastest growing innovator in real money gaming with a focus on predominant skill focused games. Started by 2 IIT-Kanpur alumni in 2018, we are backed by marquee global investors such as WestCap Group, Tomales Bay Capital, Matrix Partners, Falcon Edge, Orios Ventures and Smile Group.
Know more about our recent funding: https://bit.ly/3AHmSL3
Our focus has been on innovating in the board, strategy and casual games sub-genres. We innovate to ensure our games provide an intersection between skill and entertainment, enabling our users to earn while they play. We are at the cusp of scaling rapidly; we’ve only just begun!
Location: We are location agnostic & our teams work from anywhere.
Core Responsibilities:
-Will be responsible for architecting, scaling and optimizing the entire technology platform across website and mobile for Zupee's Gaming Studio in alignment with the business vision.
-Will work closely with the founders, technology, product, marketing data science, data analytics, design, research & innovation, user relations team to identify opportunities for innovation and technical hurdles to business success.
-Will lead the evaluation and identification of the right technology stack for delivering Zupee's product portfolio.
-Will be responsible for driving the technology stack or engineering function-related people or team, processes, capabilities, and tools.
-Will establish key engineering-related metrics to measure product-stack mix success and optimization as the situation changes.
What are we looking for?
-Must have experience working in the Startup domain.
-Should have at least 9+ years of overall experience in engineering and must have played a leadership role, out of her/his overall experience.
-Hands-on engineering leader who has been an architect of scaling platform and deciding tech roadmap.
-Must have worked on emerging Tech Stacks.
-Must have a proven track record of independently architecting, scaling, and optimizing technology products from the ground up or prototype stage; delivering within time, budget and quality in the B2C environment.
-Good to have experience in startup domains and exp. starting or developing products from scratch.
-Must have demonstrated the ability to independently evaluate and identify relevant technology stacks (backend, frontend for mobile & web, and database management) for the product. (Preferably into NodeJS/ReactJS/Microservices architecture).
-Must have experience in business partnering, team building, program delivery, and product relatability.
-Has the ability to be hands-on, think clearly, analyze quantitatively, make data-driven decisions, communicate coherently, organize effectively, prioritize and relate to the business.
-Is metric-driven, fast-paced, attentive to detail, data-driven, and self-motivated.
-Is analytical, curious, a problem solver, and can influence stakeholders.
-Has a bias for diagnosis and action Culture Cues.
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