20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You’ll split time between building data pipelines, writing queries, and creating dashboards. Mornings often start with checking overnight ETL jobs and monitoring performance in tools like Amazon Redshift or Alteryx.
Afternoons go to developing or updating reports, reviewing code with teammates, and meeting users to clarify requirements. Expect some deployment tasks (AWS EC2 or CloudFormation) and fixing bugs found after release.
You’ll commonly use Alteryx for data prep and Amazon Redshift for analytical storage and fast queries. Use DynamoDB when you need a NoSQL table for low-latency lookups.
EC2 and CloudFormation show up when you deploy services or scheduling workers. Learn SQL for Redshift, workflow building in Alteryx, and basic AWS deployment (EC2/CloudFormation).
Use AI for code snippets, SQL templates, or suggesting transformations, but never paste raw sensitive data into public AI chat tools. Treat models like a junior teammate that needs review.
Keep data on approved systems (Redshift, DynamoDB) and follow your org’s security rules. If using AI inside the company, ensure it runs in a private, audited environment and that outputs are reviewed before release.
Start with SQL and basic data modeling—practice on Amazon Redshift-compatible engines or local Postgres. Learn Alteryx if your target company uses it, or practice ETL with Python and pandas.
Also learn basics of AWS: spin up an EC2 instance and read CloudFormation templates. Build small projects: a pipeline that pulls CSVs, transforms them, and loads them into Redshift, then make a simple dashboard.
A BI Developer sits between data engineering and business analysis. Unlike a Data Engineer, you focus more on reports, dashboards, and transforming data for analytics rather than building large-scale data infrastructure.
Compared with a Business Analyst, you write code, maintain ETL, and deploy systems (e.g., Redshift, EC2, Alteryx). You’ll also design UI/UX for dashboards and support users directly.
SQL and data modeling are the core—most tasks (storing, retrieving, manipulating data) depend on strong SQL for Redshift or similar databases. That skill matters most for performance and correct analysis.
AWS deployment knowledge (EC2, CloudFormation) and tools like Alteryx help you run and scale solutions. UI/UX skills matter for user adoption but come after solid data and query abilities.