
DATA ENGINEER
Overview
They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.
Responsibilities:
Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.
Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.
Optimize and tune the performance of data systems to ensure efficient data processing and analysis.
Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.
Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
Implement and maintain data governance and security measures to protect sensitive data.
Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.
Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.
Qualifications:
Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
Strong programming skills in languages such as Python, Java, or Scala.
Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.
Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
Solid understanding of data modeling, data warehousing, and ETL principles.
Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).
Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
Excellent communication and collaboration skills to work effectively in a team environment.
Preferred Qualifications:
Advanced knowledge of distributed computing and parallel processing.
Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).
Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
Certification in relevant technologies or data engineering disciplines.

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We are looking for a detail-oriented and experienced Full Stack Developer to join our growing team in India. This is a remote, full-time opportunity to work on high-impact
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· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
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Equal Opportunity Statement:
BigRio is an equal-opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.
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F, ReactS, MVC, SQL Server,
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Experience: 5 to 12 years in full-stack or backend development.
We are looking for a skilled NET Full Stack Developer to join our team. If you have expertise in .NET Core, ReactJS, and MVC, along with a passion for problem-solving and innovation, this is an excellent opportunity to work on impactful projects in a dynamic environment.
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Bachelor’s degree in business, marketing or related field.
Experience in sales, marketing or related field.
Strong communication skills and IT fluency.
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Software Developer (B.Tech, Linux+CPP+ROS)
Job Description:
- Design, implement and deliver custom solutions using the current robotics framework.
- Bug fixing and improving of current application framework.
- Design and implement tools to facilitate application development and testing.
- Work with team members in deployment and field testing.
Requirements:
- Bachelor Degree / Masters in Engineering (ECE and CSE preferred)
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- Knowledge of video streaming from edge devices is a plus.
Perks and Benefits for the employees
- Paid Leaves (12CL+12SL+12 public holidays )
- career development
- Health insurance
- Work life balance
- Employee recognition and reward programs
- Flexible work hours
- Five working days.
- Remote job for now
Experience in C#, OOps, Javascript, HTML
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· Experience in SQL is a must
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· Proficient in writing clean, well-structured code with proper abstraction and reusability.
. Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements.









