Senior Data Engineer

About usTurvo India is the world class R&D arm of the California-based software company, Turvo Inc. Turvo is the only real-time collaborative logistics platform that connects anyone, anywhere to move things. Our platform creates a smarter way for shippers, brokers, and carriers to seamlessly work together to get things done faster. We are re-imagining how the world moves things!
Why us•At Turvo we always like to push the boundaries of technologies and work on solving problems that have not been solved. •Our culture is open and we emphasises on the policy of learn and teach. We care about building an environment where there is a constant flow of knowledge. •As an early-stage employee, this is an excellent opportunity to learn and grow as we encourage exploration and provide opportunities that will challenge you professional. •An agile environment where communication and initiative is valued and cherished. •Competitive compensation package including bonuses and various other benefits.

RoleAs a Senior Data Engineer, you should be an expert in the architecture of DW solutions for the enterprise using multiple platforms. You should excel in the design, creation, management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse / lake for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on the day-to-day decision making. You should have the ability to develop and tune SQL queries to provide optimised solutions to the business.
Qualifications
Must have:
5+ years experience in architecture of DW / Data Lake solutions for the Enterprise using multiple platforms.•Experience writing high quality, maintainable SQL on large datasets.•Expertise in designing and implementing scalable data pipelines (e.g., ETL) and processes in Data Warehouse / Data Lake to support dynamic business demand for data.•Experience working on building / optimising logical data model and data pipelines while delivering high quality data solutions that are testable and adhere to SLAs.•Excellent knowledge and experience of query optimisation and tuning.•Knowledgeable about a variety of strategies for ingesting, modelling, processing, and persisting data.
Good to have:
•Expertise in designing and implementing scalable data pipelines (e.g., ETL) and processes •Experience developing scalable data applications and reporting frameworks. •Experience building enterprise-scale data warehouse and database models end-to-end.•Ability to write code in Python, Java, Scala or other languages. •Experience working with message queues, preferably Kafka and RabbitMQ.•Experience working with Tableau, Power BI or other BI tools.•Experience with native AWS technologies for data and analytics such as Redshift, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch, etc.•Experience with NoSQL databases (MongoDB, Elastic search).•Experience working with relational databases and awareness of writing & optimising SQL queries for analytics and reporting.