Job Location: Bangalore/Bengaluru
Roles and Responsibilities
Position: Development Manager
Reports to: Director- Engineering
Responsibilities & Deliverables :
This person would be responsible to lead a team of Platform engineers and Big Data engineers to build and enhance the best-in-class data analytics platforms and solutions.
Job Description:
– Build scalable pipelines for data analysis and transformation
– End-to-end development of Platform components, feature sets, and enhancements
– Design, review, and implementation of code standards and best practices to ensure quality and cleanliness in product code stack
– Scrum planning and effort estimation for managing consistent and precise release schedules
– Coordinate design discussion and code review among team members and encourage and influence design improvements
– Adoption of agile methodology, continuous integration, and continuous delivery practices for faster delivery of patch and feature releases
– Collaborate effectively with peer teams and stakeholders – product management, QA, documentation, delivery, and support teams
– Actively participate in architecture discussion and product strategies
– Design and influence technical roadmap across Mobileum product stack
– Encourage diverse viewpoints from team members, maintain innovation-focused & result-oriented work-culture
– Plan and coordinate the volume and integration testing in a production-like environment for specifying resource requirements for different deployment scenarios – data volume, velocity, and possible exceptions
Educational Qualification :
– BE. / B.Tech., M.E./M. Tech. or M. Sc. in Computer Science / Electronics Engineering / MCA from a reputed college.
Skill Set and Work Experience :
– 10 to 14 years- experience of industry experience preferably in analytics product development
– At-least 3+ years of experience in building and managing software engineering teams.
– 5+ years of hands-on programming experience in Java.
– Well familiar with Big Data technologies – Spark, Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, and MapReduce.
– Strong knowledge on distributed computing, parallel processing, in-memory computation and scalable fault-tolerant platform architecture.
– Practical knowledge of Spark’s performance tuning and optimization techniques is must.
– Experience with Agile & Devops methodologies.
– Well familiar with Business Intelligence and Data warehousing concepts.
– Hands-on experience of ingestion, enrichment and mining of unstructured data is desirable.
– Experience of telecom domain, GSM, 4G network and signaling system, etc is a plus.
Location: Bangalore
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