Senior Data Engineer

Job Description About RateGain RateGain Travel Technologies Limited is a global provider of AI-powered SaaS solutions for travel and hospitality that works with 3,200+ customers and 700+ partners in 100+ countries helping them accelerate revenue generation through acquisition, retention, and wallet share expansion. RateGain today is one of the world's largest processors of electronic transactions, price points, and travel intent data helping revenue management, distribution and marketing teams across hotels, airlines, meta-search companies, package providers, car rentals, travel management companies, cruises and ferries drive better outcomes for their business. Founded in 2004 and headquartered in India, today. RateGain works with 26 of the Top 30 Hotel Chains, 25 of the Top 30 Online Travel Agents, 4 of the Top 5 Airlines, and all the top car rentals, including 16 Global Fortune 500 companies in unlocking new revenue every day. Exploring the role We are seeking a skilled Senior Data Engineer to join our team. The ideal candidate will be responsible for building, managing, and optimizing data pipelines, transforming raw data into actionable insights, and ensuring the data's quality and availability. You will work closely with data analysts, data scientists, and other stakeholders to design and implement data solutions that meet the business's needs. How your day will look like/Job responsibility - Build and Maintain Taxonomy for Adara's data assets across travel, experience, financial and identity data. - Data structure optimization for both services and applications that rely on properly structured data to perform. - Own data collection SDK from a data operations and taxonomy perspective. - Work with data pipelining lead engineer to ensure proper handling of data as well as determine appropriate layer of data infrastructure to implement data transformations. - Spikes of application data modeling work. - Proactively analyze data flows to optimize, accelerate, and improve quality of those data flows for both downstream applications and usage in BI teams. - Participate in weekly sprint ceremonies and agile processes. - Collaborate with BI and other data users to improve data quality, data reliability and cost optimizations. Education & Work Experience - 6-8 years of experience working in Data Engineering, Database Development, Data Modeling, Data Analytics and BI Engineering. - Bachelors in Computer Science, MCA, or a related field. Knowledge - Domain experience in Identity, MarTech and other DaaS solution sectors a big plus. - Experience in data gap assessments, mitigation strategies, and implementation of those strategies in a tactical prioritization. Skills - Experience working primarily in cloud services infrastructure such as AWS, GCP, Snowflake; GCP Preferred. - Data Pipelining, Data Storage and Data processing in solutions such as Airflow, Cloud composer, GCP Dataflow, BigQuery, etc. - Experience with Pub/Sub orchestration of data pipelines in major cloud platform. - Hands on experience implementing enterprise level scalable data stacks. - Mastery of Python, SQL, and Java programming including their data handling libraries. - Significant experience with GCS, Big Query, Big Table, MYSQL, Postgresql and other databases. - Ability to explore and visualize conclusions from data inquiries to collaborate with teammates. Attitude - Problem-solving ability is the capacity to tackle complex or challenging situations. - Effective in working independently and collaboratively in teams. - Actively seeking out opportunities to learn, grow, and adapt to changing environments and technologies. - Applies a variety of solutions to solve moderately complex problems. - Quality orientation, attention to detail, and a passion for delivering high-quality solutions. Equal opportunity employer We are proud to be an equal opportunity employer and are committed to providing a diverse and inclusive workplace. We welcome and encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.