Job Title: Senior Data Engineer About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world’s leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: Linkedin About the Role: A “Senior Data Engineer” is mid-level professional leading the design, build and evolution of the inhouse data platforms. You lead the construction of datasets requested by various stakeholders, the build and maintenance of the resulting data pipelines. You closely work in collaboration with our data analysts, data scientist and business application development teams in delivering data solutions. Our hybrid work model is designed to give you the best of both worlds—flexibility and face-to-face collaboration. Employees are required to be present in the office on Mondays, Wednesdays and Fridays each week. This means you’ll be in the office at least three days a week, with the option to work remotely on the other days, based on manager approval and business needs. This approach helps us stay connected as a team while giving you the flexibility to work in a way that suits you. Design 1. Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced Analytics datasets based on your stakeholders’ requirements 2. Design data pipelines to curate sourced data into the inhouse data warehouse 3. Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders 4. Design data model changes that align with the inhouse data warehouse standards 5. Define migration execution activities to move data from existing database solutions to the inhouse data warehouse Engineer 1. Regular housekeeping of raw data and data stored in the inhouse data warehouse 2. Build and maintenance of data pipelines and data platforms 3. Build data solution prototypes 4. Explore ways to enhance data quality and reliability 5. Identify and realize opportunities to acquire better data (raw data) 6. Develop analytical tooling to better support BI and Advanced Data Analytics activities 7. Execute data migration from existing databases to the inhouse data warehouse 8. Promote and champion data engineering standards and best-in-class methodology. You will have the following qualifications: 1. Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or related quantitative discipline from a top tier university. 2. Certified in AWS Data Engineer Specialty or AWS Solution Architect Associate 3. Snowflake SnowPro Core Certification 4. 7+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry 5. Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g. Kanban, SAFe, SCRUM, etc. 6. Strong understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics concept. 7. Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc. 8. Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL 9. Strong programming skills with advanced knowledge of Java and/or Python 10. Practical experience with ETL tools such as AWS Glue, etc. 11. Strong critical-thinking, analytical and problem-solving skills 12. Excellent communicator with team-oriented approach What We Offer: Competitive salary and benefits Opportunity to work with leading-edge technologies A dynamic and supportive work environment Career growth and development opportunities What is expected: You will be required to work in a hybrid model – 3 days WFO (Monday, Wednesday and Friday) Address :74 Techno Park, 74 Techno Park, Levels 6-10, 74/II, 'C' Cross Road, Opp. gate no.2, MIDC Marol, 400093, Seepz, Andheri East, Mumbai, Maharashtra General shift (From 10 to 7 PM or 11 to 8 PM)
Job Title
Senior Data Engineer