Project Engineering Manager (Filler, Loader, Unloader) - Rayong Factory

New 20000 crore market just opened up

Nestlé’s baby food brands including Cerelac and Nido added sugar in the form of sucrose, in lower and lower-middle income countries including India — but not in the products sold in Europe or UK, according to a report by Swiss investigative organisation Public Eye and International Baby Food Action Network (IBFAN). The research was conducted at a lab in Belgium, and examined Nestlé’s baby food products from Asia, and Africa branded as Cerelac, Nido, Mucilon and Dancow. These contained an average of 3 grams per serving, and in some cases up to 6 grams. Similar products tested in the European markets showed no added sugar. A Nestlé India spokesperson has attested that the company has reduced the sugar content in the baby product portfolio by 30% over the past five years, NDTV reported. In 2022, the sales on these products exceeded Rs.20,000 crore in India alone. Nestlé has been under the scanner in the past for similar violations in several African countries. Reports from the 1970s raised the alarms on their unethical marketing practices in an effort to push artificial feeding over breastfeeding.

Switch from QA to Product

How can someone with 5 years of manual QA experience switch to a Product role? Do courses like Growthschool, HelloPM, NextLeap, etc help? Also how hard is the transaction, is it even possible? Any sort of guidance/suggestions will be appreciated 🙏

BigData- How does data parsing happen in your company?

Hi community, Context: In my current company, we have a data-pipeline, which in short works like this: we get raw events from Kafka dumped in S3. We run a batch job (Airflow), this job essentially picks up the raw jsons in s3, enforces data parser logic (we have a service written in python where we explicitly define what attributed we want from raw json, these attributes are accordingly parsed), the parsed data is then converted to CSV/parquet formats and dumped in s3 in another folder and later loaded into tables, which is used for analytics, etc. Problem: Today for every new event we generate, we have to write a parser logic from scratch, if the event structure is different. In case of small changes we can update attributes we want to parse in code itself. But post that we have to deploy changes which takes time. Is there a smarter way of doing it? For example, having a UI interface, where we select the attributes from json (that could include nested attributes), and that is parsed and dumped in s3, later loading happens. And if we want to update parser, we can do so from UI itself than going into code updating things, deploying, etc. Do we have any open source alternatives here? Or any good engineering blogs which has covered such/similar scenario?