Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist data role in Bangalore with broad required skills increases competition.
Big-data and streaming expertise is transferable across industries but prefers retail/advertising domain experience.
Explicit 6+ years plus mandatory big-data, cloud, API, and streaming tech stacks yields strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and operate large-scale, real-time data systems and pipelines using technologies like Spark, Scala/Python, and big data tools to support marketing technology initiatives.
Drive software engineering projects by estimating effort, managing agile workflows, automating processes, and producing actionable analytical dashboards.
Coordinate cross-functional and geographically distributed teams to maintain system reliability, perform root cause analysis, and manage stakeholder roadmaps and communication.
Minimum Requirements
Bachelor’s degree in Computer Science or related technical field (MS preferred) with 6+ years of software engineering experience.
Proficient in Spark, Scala/Python, Springboot, REST API, GraphQL, and big data technologies like Kafka, Cassandra, Hadoop, Hive, Elasticsearch.
Hands-on experience with PL/SQL, cloud platforms (Azure, GCP), Linux troubleshooting, and scalable secure online services.
Work Experience Required: Minimum 6 years in software engineering or related area; Experience working with cross-geography teams; Location: Bangalore/Chennai, India (on-site with flexibility).
Ideal Candidate Profile
Experienced senior engineer capable of leading medium to large projects including high-level design and cross-team collaboration.
Skilled in integrating generative AI/ML tools to enhance development efficiency and driving impact assessments during project execution.
Comfortable working in complex, distributed multi-tier architectures with a focus on operational excellence and production environment bootstrap in public/private clouds.