Apache Spark, Kafka, Airflow, PySpark, dbt & cloud-native pipelines. Master the engineering layer that powers Data Science and Analytics. Pune's most hands-on Data Engineering training — 15+ live pipeline projects, 100% placement support.
No commitment. Meet our trainers. See the difference first-hand.
Every tool in this curriculum is used in production data pipelines at top tech companies. You graduate job-ready — not just certified.
Industry-aligned, 6-phase curriculum updated quarterly with our 500+ hiring partners. Covers everything from Python fundamentals to deploying production-grade cloud data pipelines.
Our dedicated placement squad works tirelessly to land you your first Data Engineering role. 400+ recruitment partners across India — including top product companies, consulting giants, and data-first startups.
Naukri, Hirist, LinkedIn & data-specific boards. Your profile will show up first for DE roles .
Curated Data Engineer, Big Data Developer & ETL roles sent to you every single day.
One-on-one sessions to plan your career path, specialisation, and salary negotiation strategy.
Spark internals, SQL optimisation, system design & pipeline architecture — the questions they actually ask.
Data Engineering resume crafted by placement experts. Pipeline projects front and centre.
"I joined IEC as a backend developer wanting to move into data. The Spark and Airflow modules are incredibly deep — we were building production-grade DAGs by week 8. Got placed at Amazon as a Data Engineer within 6 weeks of completing the course."
📦 Package: ₹16 LPA"The Kafka streaming module alone is worth the entire course fee. I'd been working as a SQL developer for 3 years — IEC transformed me into a full-stack data engineer in 5 months. The dbt and Snowflake sessions are state-of-the-art."
📦 Package: ₹12 LPA"Coming from a non-IT background, I was nervous. The trainers are actual practitioners — they explained Spark partitioning with real examples from their production systems. The placement team had Infosys calling me before I even submitted my portfolio."
📦 Package: ₹8.5 LPAThe course covers Python, SQL, Apache Spark, PySpark, Apache Kafka, Apache Airflow, Hadoop, Hive, dbt (data build tool), AWS Glue, Redshift, Snowflake, Azure Data Factory, Google BigQuery, Delta Lake, Docker, and end-to-end real-world pipeline projects. You graduate with a complete data engineering portfolio.
The course is suitable for fresh engineering graduates, software developers, data analysts, database administrators, and working professionals from IT or non-IT backgrounds. Basic programming knowledge (any language) is helpful but not mandatory — we cover Python from fundamentals. SQL experience is a plus.
The Data Engineer course runs for 5 to 6 months. We offer weekday batches (Mon–Fri), weekend batches (Sat–Sun), and online modes — designed to suit both freshers and working professionals who want to upskill while employed.
Yes — 100% placement assistance. Our dedicated placement team provides resume building, LinkedIn optimisation, mock technical interviews (Spark, SQL, system design), daily job alerts, and direct referrals to 400+ hiring companies including TCS, Infosys, Amazon, Wipro, KPMG, and Deloitte across India.
Data Engineers typically earn between ₹6 LPA (freshers) to ₹22 LPA (experienced professionals with cloud + Spark expertise). Cloud Data Engineers and Streaming Engineers specialising in Kafka can command packages of ₹20–35 LPA at senior levels. Data Engineering is one of the highest-paying roles 's IT market.
The course includes structured preparation for AWS Certified Data Engineer – Associate (DEA-C01), Microsoft Azure Data Engineer Associate (DP-203), and Google Cloud Professional Data Engineer certifications. These certifications are among the highest-value credentials in the data engineering space.