Company Description BEYOND SOFTWARES AND CONSULTANCY SERVICES Pvt. Ltd. (BSC Services) is committed to delivering innovative solutions to meet clients' evolving needs, particularly in the telecommunication industry. We provide a variety of software solutions for billing and customer management, network optimization, and data analytics. Our skilled team of software developers and telecom specialists collaborates closely with clients to understand their specific requirements and deliver high-quality, secure software solutions. We strive to build long-term relationships based on trust, transparency, and open communication, ensuring our clients stay competitive and grow in a dynamic market. Role Description We are looking for a Data Engineer with expertise in DBT and Airflow for a full-time remote position. The Data Engineer will be responsible for designing, developing, and managing data pipelines and ETL processes. Day-to-day tasks include data modeling, data warehousing, and implementing data analytics solutions. The role involves collaborating with cross-functional teams to ensure data integrity and optimize data workflows. Must Have Skills: 5 to 10 years IT Experience in data transformation in Amazon RedShift- Datawarehouse using Apache Airflow, Data Build Tool and Cosmos. Hands-on experience working in complex data warehouse implementations. Expert in Advance SQL. The Data Engineer will be responsible for designing, developing, testing and maintaining data pipelines using AWS RedShift, DBT, and Airflow. Experienced in Data Analytical skills. Minimum 5 years of Hands-on-Experience in Amazon RedShift Datawarehouse. Experience of dbt (Data Build Tool) for data transformation. Experience in developing, scheduling & monitoring workflow orchestration using Apache Airflow. Experienced in Astro & Cosmos library. Experience in construction of the DAG in Airflow. Experience of DevOps: BitBucket or Experience of Github /Gitlab Minimum 5 years of experience in Data Transformation projects . Development of data ingestion pipelines and robust ETL frameworks. Strong hands-on experience in analysing data on large datasets. Extensive experience in dimensional data modelling includes complex entity relationships and historical data entities. Implementation of data cleansing and data quality features in ETL pipelines. Implementation of data streaming solutions from different sources for data migration & transformation. · Extensive Data Engineering experience using Python. Experience in SQL and Performance Tuning. Hands on experience parsing responses generated by API's (REST/XML/JSON). Show more Show less