Sr Data Engineer SR DE-I Highly skilled Data Engineer with minimum 5+ years of relevant experience in SQL, PySpark, ETL, Data Lakes and Azure Tech Stack. Responsibilities 3+ years of experience in building data Pipelines with Python/PySpark. 4+ years of experience in Azure ETL stack ( eg. Blog Storage, Data Lake, Data Factory, Synapse). 4+ years of experience with SQL. Proficient understanding of code versioning tools such as Git and PM tool like Jira. SR DE-II Highly skilled Data Engineer with minimum 6+ years of relevant experience in SQL, PySpark, ETL, Data Lakes and Azure Tech Stack. Responsibilities 4+ years of experience in building data Pipelines with Python/PySpark. 5+ years of experience in Azure ETL stack ( eg. Blog Storage, Data Lake, Data Factory, Synapse). 4+ years of experience with SQL. Proficient understanding of code versioning tools such as Git and PM tool like Jira. Qualifications Excellent verbal and written communication skills. UG: B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization. A good internet connection is a must. Azure certifications will be a bonus

Designation: Senior BI Analyst Job Summary: We are seeking a BI Specialist with hands-on expertise in data visualization, data modeling, and business intelligence. The ideal candidate will work closely with stakeholders to build insightful dashboards, analyze complex datasets, and generate actionable business insights. A strong understanding of Power BI is mandatory, along with experience in SQL, Python, and Excel. The role requires a problem-solving mindset and the ability to communicate insights effectively to both technical and non-technical audiences. Key Responsibilities: Understand the business needs and objectives of our clients from various sectors such as FMCG, E-commerce, etc. Liaise with stakeholders - both external (clients) and internal (data science and data engineering teams) - to fully understand data content and context. Build dashboards to drive insights and communicate through visual stories. Gather, prepare, and create visual models of business data to produce informative and user-friendly dashboards and reports (on BI platforms such as Microsoft Power BI, Tableau, etc.), to enable actionable insights for the stakeholders/clients / decision-makers. Align with the data engineering team, data science team, and business users for effective tracking of business KPIs in the right business context. Communicate results and business impacts of insights to stakeholders within and outside of the company. Imbibe and drive the culture of the analytics organization to create an egalitarian, merit-driven organization, and help the team grow. Required Skills & Experience: Proven experience in a hands-on BI Specialist role for at least 4+ years. Ability to think independently and take ownership. Ability to understand the business needs and objectives of our clients, with good communication skills. Excellent dashboarding skills (Microsoft Power BI is a must) with a passion for driving insights using data. Solid experience in data analysis, data filtering, data cleansing, data enrichment, data wrangling, and reporting within a given business context. Experience of working with Excel, R, Python, and SQL is mandatory. Knowledge of machine learning & statistical techniques is not mandatory, but nice-to-have. Most importantly, problem-solving aptitude and eagerness to learn new technologies & tools

We are seeking a skilled and experienced Senior Data Scientist (NLP) to join our growing team. The ideal candidate should have a strong foundation in Natural Language Processing (NLP) . He/she will be responsible for applying advanced data science techniques, build machine learning models that deliver business insights. This role requires a passion for learning and applying cutting-edge technologies in Generative AI for NLP tasks and deliver projects that exceed client expectations. Key Responsibilities Advanced AI/ML/GenAI Implementation: Build production grade machine learning models and ensure proper integration with business applications and systems. Client Engagement: Ensure high levels of client satisfaction through taking ownerships, excellent communication, impactful delivery, and strong stakeholder management. Exhibit consulting approach: Use consultative communication style, to be open to ask relevant questions when requirements/requests are not clear and possess an ability to evaluate the necessity and relevance of tasks and suggest improvements appropriately Cross-functional Collaboration: Work closely with data engineering, product, and business teams to align on objectives, achieve common goals, and show proactiveness to contribute more with knowledge and capacity. Version control: Follow Git/Azure-DevOps best practices, including understanding and applying branching strategies Domain Adaptation: Apply data science methodologies across different industries and domains, with a willingness to quickly learn and adapt to new industries or sectors. Testing & Quality Assurance: Ensure the quality and reliability of models through rigorous testing and validation. Attention to Detail: Demonstrate strong attention to detail towards model validation, data processing, and analysis tasks. Mandatory Skills Professional experience: Minimum 4+ years of total experience in data science, with at least 2+ years specifically in NLP . NLP Expertise: Proven experience with text classification , sentiment analysis , and topic modeling , using both traditional NLP techniques and advanced approaches, including Generative AI (GenAI) At least 1+ year of experience working with Python including libraries specific to analyse & manipulate large datasets, implement statistical models, and ensure high-quality data processing Machine Learning: Deep knowledge of ML models & algorithms, aptly deciding which models and techniques to use and why, and suggest additional measures to optimize/improve existing solutions Version Control: Hands-on experience with Git/Azure-DevOps and understanding of branching strategies for collaborative development. Excellent communication skills Nice to Have Skills: Familiarity with the Azure environment and Databricks for building and deploying scalable data pipelines and models. Working knowledge of SQL Skills & Qualification: Education: Bachelor s or Master s degree in computer science, Data Science, Engineering, or a related field (Master s/PG in AI/ML/DS preferred). Technical Skills: Python, Generative AI (LangChain, LLM APIs), NLP libraries (spaCy, NLTK, Hugging Face, etc.) Soft Skills: Consultative approach, Strong problem-solving skills, ability to work independently and as part of a team, excellent communication skills.