Oracle Apps Functional Consultant

Roles and Responsibility

• Design, develop, and test software applications using Golang.
• Collaborate with the development team to identify and prioritize project requirements.
• Develop high-quality, efficient, and well-documented code.
• Participate in code reviews and contribute to improving overall code quality.
• Troubleshoot and resolve technical issues efficiently.
• Stay updated with industry trends and emerging technologies to enhance skills and knowledge.

Job Requirements

• Proficiency in Golang programming language.
• Experience with IT Services Consulting projects.
• Strong understanding of software development principles and methodologies.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.

Good Communication skills

Logistics & supply chain undersating

invintory management, Data management, MS Excel.

About Hudson Data

At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.

Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.

Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.

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About the Role

We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.

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Key Responsibilities

1.⁠ ⁠Data Collection & Management

• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.

• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.

• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.

• Collaborate with engineering teams to define data governance, lineage, and security standards.

2.⁠ ⁠Data Cleaning & Preprocessing

• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.

• Handle missing data, duplicates, and outliers while ensuring consistency and quality.

• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.

3.⁠ ⁠Data Analysis & Insights

• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.

• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.

• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.

• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.

4.⁠ ⁠Predictive Modeling & Machine Learning

• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.

• Perform feature engineering, model tuning, and cross-validation for performance optimization.

• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.

• Continuously monitor, evaluate, and retrain models to ensure business relevance.

5.⁠ ⁠Reporting & Visualization

• Develop interactive dashboards and automated reports for performance tracking.

• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.

• Communicate insights effectively through clear data storytelling.

6.⁠ ⁠Collaboration & Communication

• Partner with business, engineering, and product teams to define analytical goals and success metrics.

• Translate complex data and model results into actionable insights for decision-makers.

• Advocate for data-driven culture and support data literacy across teams.

7.⁠ ⁠Continuous Improvement & Innovation

• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.

• Identify opportunities for process optimization, automation, and innovation.

• Contribute to internal R&D and AI product development initiatives.

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Required Skills & Qualifications

Technical Skills

• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).

• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.

• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.

• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).

• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).

• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.

Soft Skills

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication and presentation skills, including data storytelling.

• Curiosity and creativity in exploring and interpreting data.

• Collaborative mindset, capable of working in cross-functional and fast-paced environments.

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Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

• Relevant certifications are highly valued:

• Google Cloud Professional Data Engineer

• AWS Certified Data Analytics – Specialty

• Microsoft Certified: Azure Data Scientist Associate

• TensorFlow Developer Certificate

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Why Join Hudson Data

At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

Position: Content Writer

Experience Level: 1 Year

Key Responsibilities:

• Content Creation: Develop high-quality written content for blogs, websites, social media, email newsletters, and marketing materials.
• Research: Conduct thorough research on industry-related topics to generate relevant and engaging content.
• SEO Optimization: Incorporate relevant SEO keywords and practices to improve content visibility and ranking.
• Editing & Proofreading: Review content for clarity, grammar, punctuation, and style before publication.
• Collaboration: Work closely with marketing, design, and other teams to ensure consistency in messaging and content strategy.
• Content Management: Maintain and update content on various platforms, including websites and blogs.
• Audience Engagement: Write content that resonates with the target audience, driving engagement and increasing brand visibility.

Required Skills & Qualifications:

• Experience: Minimum 1 year of experience in content writing, copywriting, or a similar role.
• Writing Skills: Strong command of English with excellent grammar, punctuation, and attention to detail.
• Research Skills: Ability to conduct thorough research and present accurate, well-informed content.
• SEO Knowledge: Familiarity with SEO principles and how to incorporate them into content writing.
• Time Management: Ability to manage multiple projects and meet tight deadlines.
• Creativity: Strong storytelling skills with the ability to craft engaging, compelling narratives.
• Tech-Savvy: Proficiency in content management systems (CMS), Google Docs, Microsoft Office, and basic understanding of social media platforms.

Preferred Qualifications:

• Experience with content marketing and content strategy.
• Knowledge of industry-specific trends.
• Basic understanding of graphic design or multimedia content (optional but a plus).

About Us -

Burgundy Brand Collective is one of India's fastest-growing specialty retail companies with stores in 9 cities. The company partners with best-in-class international luxury brands to offer Indians a window to the finest food and lifestyle themes from across the world. Our brand portfolio includes Royce’ Chocolate- a premium Japanese confectionery brand, Onitsuka Tiger - a leading Japanese fashion and lifestyle brand, Provenance Gifts – a marketplace for curated gourmet gifts, Papabubble – an artistic, youth-oriented global candy brand and Ligne Roset – a luxury French contemporary furniture brand. The plan is to aggressively (yet astutely) scale out a portfolio of international brands pan-India. 

Position – Customer Service Executive

As the Customer Service Executive, you will be responsible for managing and maintaining customer satisfaction. An outstanding customer service executive should possess a proven record of accomplishment of successful customer service and management skills. Along with the team, you will be responsible for ensuring that the customer experience delivers the brand values. 

Duties & Responsibilities 

• Educating customers by presenting and explaining retail products, answering queries, and helping customers make selections by building customer confidence and offering suggestions/opinions  
• Replenishing retail shelves as per store requirement  
• Managing store visual merchandising and managing customer billing and gift-wrapping 
• Maintaining the Daily/Weekly/Monthly inventory records and supporting the Store Manager in stock reconciliations  
• Maintaining a safe and healthy work environment  
• Following the cleaning and hygiene guidelines set by the store 

Candidate Qualifications & Skill Requirements 

• Candidate should ideally have 2- 3 years of experience in the similar profile
• Graduate in any stream. Hotel Management qualification/ course will be an added advantage
• Experience in a retail setting will be an added advantage as well as an experience in luxury retail or hospitality
• Good written and verbal communication skills
• Ability to work well under pressure
• Flexible and works well with a team
• Ability to multitask

Reporting Manager: Store Manager

Responsibilities:

Strategic Talent Planning:

Collaborate with leadership to understand business goals and workforce needs.

Develop and implement a strategic talent acquisition plan aligned with organizational objectives.

Full-Cycle Recruitment:

Manage the end-to-end recruitment process, including job posting, sourcing, screening, interviewing, and selecting candidates.

Conduct thorough candidate assessments to ensure a strong cultural fit and alignment with job requirements.

Team Leadership:

Lead and mentor a team of recruiters, providing guidance and support in achieving recruitment goals.

Conduct regular training sessions to enhance the team's skills and knowledge.

Employer Branding:

Develop and promote the organization's employer brand to attract top talent.

Utilize various channels to showcase the company culture and values.

Sourcing Strategies:

Implement creative sourcing strategies to attract passive and active candidates.

Build and maintain a pipeline of potential candidates for current and future hiring needs.

Collaboration with Hiring Managers:

Partner with hiring managers to understand staffing needs and requirements.

Provide guidance on best practices, market trends, and talent acquisition strategies.

Candidate Experience:

Ensure a positive and seamless candidate experience throughout the recruitment process.

Gather feedback from candidates to continuously improve recruitment processes.

Data Analysis and Reporting:

Utilize recruitment metrics and analytics to track and report on the effectiveness of talent acquisition efforts.

Make data-driven recommendations for process improvements.

Vendor Management:

Manage relationships with external recruitment agencies and other vendors.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Desired Candidate Profile

• 6+ years of experience in managing rural markets
• Rigour for numbers
• Proven record of managing large teams
• Ability to handle and deliver in challenging environments    

Skills:

Excellent verbal and written communication.

Strong leadership and management skills.

Must have excellent interpersonal skills.

Sound knowledge of MS Office, word and Email correspondence.

Knowledge of E-commerce online portals.