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Remote-friendly, mid-level data engineer in Bengaluru with broad big-data skillset drives high competition.
Core data engineering skills transfer across industries, lowering background sensitivity.
Multiple mandatory years and big-data technology requirements make screening strict.
Build, enhance, and maintain optimal data pipeline architecture and implementations to support business needs.
Automate and optimize data delivery processes, increasing ETL velocity and ensuring high performance and uptime.
Support Operations team with lifecycle maintenance of data products; review design and code, test and deploy applications, and improve quality and security.
Bachelor's degree in Computer Science, Statistics, Informatics or related field, or equivalent work experience.
5-8 years of software development experience, with 3+ years specifically in data engineering.
Proficiency with big data tools (e.g., Hadoop, Spark, Kafka) and experience with relational SQL databases (e.g., PostgreSQL, MySQL).
Experience with stream-processing systems (Flink, KSQL, Spark-Streaming), programming languages (Java, Scala, Python), and cloud data engineering (AWS).
Experienced individual contributor capable of independently designing and developing scalable data pipelines and infrastructure.
Skilled in working collaboratively with cross-functional teams including developers, architects, product managers, and analysts on data initiatives.
Strong analytic and problem-solving skills related to structured and unstructured data, with ownership on quality and timely delivery of projects.