? Job Title: Data Engineer (PySpark, Airflow & APIs)

?Experience Required: 4 to 8 Years ?Location: Pune, India

⚠️MANDATORY CRITICAL MATCH CRITERIA (READ FIRST):

✅Experience: 4 to 8 years in data engineering with a stable tenure (min 2 years per organization). ✅Education: B.E. / B.Tech / MCA or equivalent computer science degree. ✅Core Skills: Hands-on execution of distributed pipelines, data modeling, schema design, and RESTful API integrations. ✅Software/Tools: Proficiency in Python (PySpark), SQL, Apache Spark, Apache Airflow, Apache Kafka, and Java. ✅Communication: Exceptional English skills for daily technical coordination syncs with global enterprise teams. ✅Logistics: 100% strictly Work-from-Office / Hybrid model located in Pune.

➡️Position Overview Build and optimize large-scale ETL/ELT data ingestion, processing, and streaming infrastructure across enterprise platforms. You will engineer reliable distributed pipelines using Spark, Airflow, and Kafka while integrating RESTful API frameworks and custom streaming workflows.

?Core Responsibilities ✔️Data Pipeline Development: Design and deploy scalable ETL/ELT pipelines using PySpark, SQL,



and Apache Spark. ✔️Orchestration & Streaming: Automate complex workflows via Apache Airflow and build real-time streaming using Apache Kafka. ✔️API Engineering: Develop, expose, and consume RESTful APIs, incorporating GraphQL/SOAP and Java-based backend components. ✔️Data Architecture: Implement logical/physical data modeling, schema design, and enterprise data warehouse solutions. ✔️Quality & Workplace: Enforce data validation, cleansing, and Unix/Linux shell scripting for automated job execution.

How to Apply ? If you meet the requirements outlined in the and are interested in this prospect, please email your resume to [email protected] , mentioning your current CTC, expected CTC, and Notice Period. or

Please click the "Apply" button directly on this platform and ensure you accurately complete the mandatory screening questions. Applications with incomplete screening responses or profiles failing to meet the baseline experience metrics will be filtered out by our system automatically.

📌 Data Engineer - PySpark & Airflow Specialist (Pune)
🏢 Amrapali Solutions
📍 Pune