Senior Data Engineering Specialist

2 days ago

Jodhpur, India beBeeDataEngineering Full time

About our company:We are a leading, tech-first remote sales & revenue management organization for hotels and hotel operators in the US, enabled by a unified tech-led solution.We strive to deliver exceptional service to all our clients while setting new standards for efficiency and effectiveness.Our goal is to build high-quality, innovative & robust software that makes a significant impact.Job Overview:We are seeking an experienced and talented data engineer to join our dynamic team.The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines and ETL/ELT processes using tools like Airflow, Airbyte, and PySpark.Key Responsibilities:Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources.Utilize Airflow for orchestrating complex workflows and managing data pipelines.Implement batch processing techniques using Airflow/PySpark to handle large volumes of data efficiently.Develop ELT processes to optimize data extraction and transformation within the target data warehouse.Leverage AWS services (e.g., S3, RDS, Lambda) for data storage, processing, and orchestration.Ensure data security, reliability, and performance when utilizing AWS resources.Collaborate with developers, analysts, and other stakeholders to understand data requirements and provide the necessary data infrastructure.Assist in troubleshooting and optimizing existing data workflows and queries.Create and maintain documentation for data pipelines, workflows, and processes.Adhere to best practices in data engineering, including version control and monitoring.Requirements:Bachelor's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.3-5 years of experience in data engineering or a similar mid-level role.Proficiency in Python and SQL; experience with Java is a plus.Hands-on experience with AWS, Airbyte, DBT, PostgreSQL, MongoDB, Airflow, and Spark.Familiarity with data storage solutions such as PostgreSQL, MongoDBExperience with BigQuery (setup, management, and scaling)Strong understanding of data modeling, ETL/ELT processes, and database systems.Experience with data extraction, batch processing, and data warehousing.Excellent problem-solving skills and attention to detail.Ability to work effectively in a collaborative team environment with software engineers and analysts.Why Work with Us:Inclusive and collaborative work culture.Competitive compensation package.Comprehensive health care benefits (includes IPD+OPD, covers employee, spouse, and two children).Growth and advancement opportunities within a rapidly expanding organization.

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