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Mid-senior remote Bangalore data role with popular title and broad required skillset increases competition.
Core data engineering skills transfer across industries, but telecom/communications domain experience improves fit.
Explicit 5-8 years plus 3+ data years and mandatory big-data/cloud stack creates strict selection filters.
Own creation, enhancement, and maintenance of data pipeline architecture and implementations ensuring optimal performance and uptime.
Automate data processes and optimize data delivery to meet functional and non-functional business requirements.
Provide lifecycle support and code review within Data Engineering team; collaborate with developers, architects, product managers, and analysts on data initiatives.
Bachelor’s degree in Computer Science, Statistics, Informatics or related field or equivalent work experience.
5-8 years of software development experience with at least 3 years in Data Engineering roles.
Experience with big data tools (Hadoop, Spark, Kafka), relational SQL databases (PostgreSQL, MySQL), stream-processing systems (Flink, KSQL, Spark-Streaming), and programming languages (Java, Scala, Python).
Familiarity with Agile methodologies and cloud data engineering platforms (e.g., AWS).
Experienced individual contributor comfortable working independently without direct reports while collaborating across functions.
Strong skills in building and optimizing big data pipelines and architectures with ownership of timely, quality delivery.
Well-versed in both batch and stream processing, with sound analytic capabilities on varied datasets and cloud environments.