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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist role in metro with broad skillset attracts many qualified applicants.
Core data engineering skills like Python, SQL, Kafka, and Spark are highly transferable across industries.
Explicit 2–5 years plus mandatory Python, SQL, and observability skills create moderately strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain software applications and services that support Unified Communications platforms and business operations.
Build and enhance data ingestion and processing pipelines using technologies like Python, Kafka, Spark, and integration with various databases and observability tools.
Collaborate with cross-functional teams to translate business requirements into scalable, fault-tolerant, and maintainable technical solutions.
Minimum Requirements
Bachelor's Degree preferred; equivalent coursework and experience may be considered.
2-5 years of relevant work experience in software development, data engineering, or similar roles.
Mandatory skills include strong Python programming (especially Pandas & numpy), excellent SQL skills, and experience with Observability tools such as Elasticsearch, Kibana, Grafana, Prometheus, or similar.
Experience with building data pipelines and familiarity with distributed processing frameworks like Spark or Hadoop; knowledge of Kafka and ETL tools like Airflow preferred but not mandatory.
Ideal Candidate Profile
Experienced software engineer with a focus on data engineering and Unified Communications or related telecom services.
Proficient in developing scalable, distributed systems with hands-on experience in API development, data pipeline construction, and observability implementations.
Capable of working independently and collaboratively with product owners, architects, and engineering teams to deliver high-quality, production-grade software solutions.