Data Engineer - ETL Pipeline Servilint Technologies
Servilint Technologies
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: Python, SQL, Kafka, Flask, aws, Azure, GCP, spark, Hadoop, devops, Docker, Kubernetes, Apache Airflow, FastAPI, Django REST Framework
About Servilint Technologies
Job Description
Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines. Build, deploy, and manage secure and scalable APIs. Optimize data workflows and implement CI/CD pipelines. Ensure data quality, governance, and compliance with BFSI regulations. Collaborate with cross-functional teams for data integration and insights. Monitor and optimize the performance of data systems. Qualifications And Skills Bachelor's or Master's in Computer Science or related field. 3+ years of experience in data engineering, preferably in BFSI. Expertise in Python, SQL, and tools like Apache Airflow, Kafka. Proficiency in API development using Flask, FastAPI, or Django REST Framework. Hands-on experience with cloud platforms (AWS, Azure, GCP). Knowledge of data modeling, big data tools (Spark/Hadoop), and relational databases. Familiarity with DevOps tools and containerization (Docker, Kubernetes) (ref:hirist.tech),