Senior Delivery Lead - Technology

As a Data Engineer at think bridge, you will play a crucial role in designing, building, and maintaining efficient data pipelines and infrastructure to support analytics, reporting, and application needs. You will collaborate with data scientists, analysts, and product teams to ensure smooth data integration from multiple sources into modern cloud-based platforms. The ideal candidate is a problem solver with solid Python and SQL expertise, practical experience in ETL/ELT processes, and familiarity with cloud data services. Key Responsibilities: - Design and maintain data pipelines to automate ingestion from multiple sources into storage systems. - Develop and manage ETL/ELT workflows using tools like Apache Airflow and DBT. - Work with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases. - Leverage cloud platforms (AWS, GCP, or Azure) to build scalable, cloud-native data solutions for storage, processing, and analytics. - Build ETL/ELT pipelines to transfer data from diverse sources into Firestore, Supabase, or other relational databases using Cloud Data Factories and data pipeline orchestration tools. - Write efficient Python scripts to manipulate and validate data pipelines. - Write optimized SQL queries to work with relational databases and support data pipeline efficiency. - Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance in production. Qualifications Required: - Minimum 2 years of relevant experience in data engineering. - Proficiency in Python (Pandas, NumPy) and SQL. - Hands-on experience with ETL/ELT workflows and pipeline tools (Airflow, DBT, Cloud Data Factories). - Experience with relational databases (PostgreSQL, MySQL) and familiarity with NoSQL systems (MongoDB, Cassandra). - Exposure to cloud platforms (AWS, GCP, Azure) for data services. At think bridge, you will have the opportunity to work on cutting-edge projects with the latest technologies. We offer an employee-friendly leave policy designed for a healthy work-life balance. Comprehensive medical and term insurance coverage is provided for you and your family's peace of mind. Additionally, we organize city-wise, company-sponsored local meetups and reimburse approved certifications and short courses to support your role. We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued. As a Data Engineer at think bridge, you will play a crucial role in designing, building, and maintaining efficient data pipelines and infrastructure to support analytics, reporting, and application needs. You will collaborate with data scientists, analysts, and product teams to ensure smooth data integration from multiple sources into modern cloud-based platforms. The ideal candidate is a problem solver with solid Python and SQL expertise, practical experience in ETL/ELT processes, and familiarity with cloud data services. Key Responsibilities: - Design and maintain data pipelines to automate ingestion from multiple sources into storage systems. - Develop and manage ETL/ELT workflows using tools like Apache Airflow and DBT. - Work with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases. - Leverage cloud platforms (AWS, GCP, or Azure) to build scalable, cloud-native data solutions for storage, processing, and analytics. - Build ETL/ELT pipelines to transfer data from diverse sources into Firestore, Supabase, or other relational databases using Cloud Data Factories and data pipeline orchestration tools. - Write efficient Python scripts to manipulate and validate data pipelines. - Write optimized SQL queries to work with relational databases and support data pipeline efficiency. - Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance in production. Qualifications Required: - Minimum 2 years of relevant experience in data engineering. - Proficiency in Python (Pandas, NumPy) and SQL. - Hands-on experience with ETL/ELT workflows and pipeline tools (Airflow, DBT, Cloud Data Factories). - Experience with relational databases (PostgreSQL, MySQL) and familiarity with NoSQL systems (MongoDB, Cassandra). - Exposure to cloud platforms (AWS, GCP, Azure) for data services. At think bridge, you will have the opportunity to work on cutting-edge projects with the latest technologies. We offer an employee-friendly leave policy designed for a healthy work-life balance. Comprehensive medical and term insurance coverage is provided for you and your family's peace of mind. Additionally, we organize city-wise, company-sponsored local meetups and reimburse approved certifications and short courses to support your role. We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued.