Software Development Engineer 1 (Data Platform) Job Vacancy in Ola Cabs Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : Ola Cabs
Location : Bengaluru, Karnataka
Position :

Job Description : Software Development Engineer I – Data Platform
Job Title Department/Group Location
SDE Dataplatform – I Infrastructure/Platform Bengaluru
Employment Type Reporting
Full-time Engineering Manager
About Us:
Founded in Jan 2011 by IIT Bombay alumni Bhavish Aggarwal and Ankit Bhati, Ola (formerly Olacabs), is India’s most popular mobile app for personal transportation. Ola integrates city transportation for customers and driver partners onto a mobile technology platform ensuring convenient, transparent and quick service fulfillment. Ola is committed to its mission of building mobility for a billion people.
Using the Ola mobile app, users across 110 cities in 4 countries can book from over 2 million vehicles across cabs, auto-rickshaws, taxis and bikes. Ola has also introduced a range of shared mobility services on its platform like Ola Shuttle and Ola Share for commute and ride-sharing respectively. The app is available on Windows, Android and iOS platforms.
Data at Ola:
Quality data is fundamental to Ola’s success. As a rapidly growing company, we are preparing for a future of tremendous growth and transformation. We are rebuilding our Data Engineering practice to enable the ola group companies success by building a solid data foundation. We are seeking stunning Principal Data Engineers to help us define and realize our vision for reliable and quality data across the company. This is a unique opportunity to shape Data Engineering for a strong, but high potential, company at high scale in its lifecycle.
Data Engineering at Ola:
We need to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal.
At the same time, the technology used to create great data is continually evolving. We are moving to a reality where both batch & stream processing are leveraged to meet the latency requirements for the business. The Data Engineering paved path is still taking shape, and we want to collaboratively develop this to support the entire company. We need senior engineers who are passionate not only about the data, but also about improving the technology we leverage for Data Engineering.
We are looking for Principal Data Engineers to help us build and enhance big data platforms to achieve availability, scalability and operational effectiveness. The right individual will embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will also work on the cutting edge of technology, leveraging Hadoop, Hbase, Hive, Kafka, Spark, Flink, Mesos/Kubernetes, Hudi/Deltalake , Prometheus, Grafana etc.
Roles and Responsibilities:
Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Ola group business growth and improve the product experience.
Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
Develop engineering modules to ensure pipelines are reliable, efficient, testable, & maintainable.
Build our data models for optimal storage and retrieval and to meet critical product and business requirements.
Understand and influence logging to support our data flow, architecting logging best practices where needed.
Developing projects using agile methodologies.
Education Qualifications:
Bachelors and/or Master’s degree in CS, or equivalent experience.
Experience & Skills:
3+ years of relevant industry experience.
1+ years experience in custom ETL design, implementation and maintenance.
Working knowledge of relational databases and query authoring (SQL).
Good Experience with JAVA / Python / Scala / Spark.
Working experience with data pipelines.
Experience building and operating robust distributed systems.
Experience deploying high performance systems with reliable monitoring and logging practices.
Experience of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
Experience in managing and deploying containerized environments using Docker, Mesos/Kubernetes is a plus.
Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike, Couchbase, Scylla, Cassandra, Elasticsearch). Excellent communication skills, both written and verbal.

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