About Company

Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that have consistently driven measurable ROI for our clients.

With a global footprint spanning 30+ countries, Straive serves hundreds of clients, supported by a team of 18,000+ seasoned professionals in data, analytics, AI, and operations. Our offices are strategically located across India, the Philippines, the USA, Nicaragua, Vietnam, the UK, Canada, and Singapore, where our headquarters is based.

Responsibilities

• Data Collection and Ingestion: Write pipelines by using various data engineering guidelines to enable data flow from disparate sources and making is available at a central location for further analytical use-cases using Cloud / Hybrid Eco-systems.
• Data Exploration and Insight Generation: Use large and complex datasets for churning out meaningful insights and make it consumable in form of visualisation. Usage of tech. like – Python, Pandas, Spark, Data Factory, Databricks, DWH will be the daily job.
• Programming and Software Development: Utilize Python and Full-Stack (HTML, CSS, JS) skills to perform data API development, Data Application development which enhances data consumptions. Integration of models in Data Pipelines, Data Apps will be needed for making a business focused analytical solutions.
• Infrastructure and Architecture: Good understanding of Computer Hardware is must along with Cloud understanding, collaboration with the Infra team is needed to implement scalable data solutions.
• Data Visualisation: Creation of interactive visualisation is needed using D3js, Chart.js, Vega.js etc.
• Data Quality: Monitor data quality and help implement data governance practices to ensure data integrity.
• Continuous Learning: Stay up-to-date with industry trends and emerging technologies related to data analysis.

Qualifications

• Bachelor's (4 years)/ Masters (3+2 years) degree from a premier institution in a relevant field (e.g., Computer Science, Information Technology, MCA or other equivalent streams).
• Strong analytical and problem-solving skills.
• Proficiency in tools such as Excel, Python, SQL, HTML, CSS, JS, Data Factory, Databricks will be an added advantage.
• Basic understanding of DevOps concepts, AI/ML will be helpful.
• Excellent communication and presentation skills.
• Ability to work both independently and collaboratively within a team.
• Eagerness to learn and adapt to new technologies and tools.
• A passion for data-driven decision-making.