ટૂંકો જવાબ: A Data Engineer builds the data pipelines that power AI and analytics at companies like Razorpay, CRED, and Indian SaaS startups. You'll master SQL, Spark, and Airflow to handle massive datasets, earning ₹70K–₹7.5L monthly. Learn through AIshala's free courses and land one of 4 active openings today.
You start by checking monitoring dashboards for any pipeline failures from the previous night. A batch job that loads customer transaction data into the warehouse ran 40 minutes longer than expected—you investigate the query plan and optimize a join operation. You then attend a standup where the ML team flags that they need a new data source—user interaction logs—to feed their recommendation model. You design the schema, write the ingestion logic, and schedule it to run hourly. In the afternoon, you review a colleague's code for a Spark job that aggregates metrics, and you spend the last hour setting up a new staging environment for testing.
Data Engineering sits at the intersection of software engineering and analytics. You're writing production code, but instead of user-facing features, you're building systems that process terabytes of data reliably and efficiently. You'll debug distributed systems, optimize expensive queries, design schemas, and make architectural decisions about whether to use a data lake or warehouse.
In India's tech ecosystem, Data Engineers are in high demand across Bengaluru, Mumbai, and Hyderabad startups and established tech firms. Career progression typically moves from junior roles (building basic pipelines) to senior roles (designing data architectures for entire organizations) to staff-level positions (influencing data strategy across teams). Mid-career salaries for Data Engineers in India typically range from ₹20-50 LPA, with senior roles commanding significantly more.
આ Career Path માટે AIshala દ્વારા પસંદ કરવામાં આવેલા free courses નીચે ક્રમમાં આપેલા છે. કુલ સમય: 6 અઠવાડિયા.