Data Engineer

7 days ago

Pune, India Information Technology Full time

Description :About the Role :We are seeking a highly skilled Data Engineer with expertise in Python, Apache (Spark/Hadoop), and Airflow to design, develop, and optimize data pipelines that power analytics and business insights. The ideal candidate should have a strong background in data architecture, ETL development, and workflow orchestration, along with hands-on experience managing large-scale data systems.Key Responsibilities :- Design, build, and maintain scalable ETL pipelines and data architectures.- Develop efficient data processing workflows using Apache Spark/Hadoop and Airflow.- Collaborate with data scientists, analysts, and software engineers to define data requirements and integration strategies.- Ensure data reliability, accuracy, and security across multiple sources and systems.- Optimize workflows for performance, scalability, and cost-efficiency.- Implement monitoring and alerting for data quality and pipeline performance.- Work with cloud platforms (AWS, Azure, GCP) for data storage, processing, and orchestration.Required Skills & Qualifications :- Bachelors or Masters degree in Computer Science, Information Technology, or a related field.- 6+ years of experience in data engineering or ETL development.- Strong programming skills in Python.- Hands-on experience with Apache Spark, Hadoop, or similar big data frameworks.- Expertise in Airflow or equivalent orchestration tools.- Strong SQL and data modeling proficiency.- Familiarity with cloud data services (AWS Glue, Redshift, Azure Data Factory, GCP BigQuery, etc.).- Experience with Git, CI/CD pipelines, and data versioning tools.Preferred Qualifications :- Experience with containerization (Docker, Kubernetes).- Knowledge of data lake and data warehouse architectures.- Exposure to real-time data processing tools (Kafka, Flink, etc.).- Strong analytical and problem-solving skills with attention to detail.- Excellent communication and collaboration abilities. (ref:hirist.tech)

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