Highlights
Join our innovative team working on global software products. Work with cutting-edge tools and technologies.
Description
Job Summary
pWe are seeking a Data Engineer to join our Core Product Development team at Platform Science in Chennai. As a key member of the team, you will be responsible for designing and developing data solutions using Power BI and Snowflake.
Responsibilities
- Select key features and build optimized classifiers using machine learning techniques.
- Extend company's data infrastructure with third-party sources and enhance data collection procedures.
- Cleanse, process, and verify the integrity of large-scale datasets for downstream analytics.
- Analyze data and present insights clearly to stakeholders, building automated anomaly detection systems.
Required Skills
- Power BI
- Snowflake
- Python (preferred)
- IoT Analytics
- Machine Learning
Required Skills Explained
- Advanced proficiency in Power BI and Snowflake for data visualization and management.
- Core coding skills in Python or R for advanced data analysis and machine learning tasks.
- Experience with IoT analytics, Machine Learning, AI, and time-series analysis using streaming sensor data.
- Solid background in Mathematics and Statistics including Operations Research, Linear programming, optimization algorithms, and complex problem modeling.
Who is this for
pThis role is ideal for a data engineer with experience in advanced data analytics and a passion for transforming raw data into actionable intelligence. You should have strong analytical skills, proficiency in Power BI and Snowflake, and the ability to work collaboratively in an agile environment.
Why This Job is a Good Opportunity
ulliOpportunity to work with cutting-edge IoT technology and develop innovative solutions for the transportation industry.liPotential to collaborate with diverse teams and contribute to global software products.liGrowth in a dynamic environment that values innovation, transparency, and teamwork.liCompetitive compensation package with various benefits including paid maternity leave.
Interview Preparation Tips
- Revise your experience related to data engineering, Power BI, Snowflake, Python/R, IoT analytics, machine learning, and time-series analysis.
- Pull up examples of how you have previously managed data quality assurance and integrated third-party information into data pipelines.
- Prepare to discuss case studies or projects where you applied advanced analytics and operational modeling techniques.
- Be ready to explain your problem-solving approach in a clear and concise manner, especially when dealing with complex issues.
Career Growth in This Role
pThis role offers significant opportunities for professional growth as you will be at the forefront of developing data solutions that impact global supply chains. The team collaboration and agile development practices provide a dynamic environment where continuous learning and innovation are key. As you progress, there is potential to specialize further in specific areas like advanced analytics or machine learning, or even take on leadership roles within the company.pThe role also opens doors to expanding your technical skill set by working closely with leading-edge technologies and platforms. With Platform Science's focus on global solutions, there are ample opportunities for international collaboration and exposure to diverse industries.
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Skills
Frequently Asked Questions
What is the expected experience level?Candidates should have 1 to 3 years of hands-on experience in data engineering or advanced analytics.
Is there a preference for any specific programming language?Core coding skills in Python are highly preferred, but R is also acceptable.
What benefits does the company offer?Benefits include provident fund, gratuity, paid vacation, sick leave, and holidays as per applicable laws.
