Developer AI/ ML

4 days ago


Gurugram, India Airtel Full time

Data Engineer

Must-Have Technologies & Techniques

  • Python and SQL for ETL, analytics, and data-centric development
  • Kafka (or Solace / Pulsar) with producers, consumers, and exactly-once semantics
  • Elasticsearch
  • Spark Structured Streaming or Apache Flink for stateful stream/batch processing and windowing
  • Airflow (or another DAG scheduler)
  • Apache Beam, Debezium CDC, and Iceberg/Delta Lake for ACID data-lake workloads
  • ClickHouse (or another time-series DB) with Parquet/ORC stored on MinIO / S3 object storage

Nice-to-Have Technologies & Techniques

  • Qdrant, Milvus, or Elasticsearch vector indices for retrieval-augmented generation (RAG)
  • Prometheus metrics and Grafana dashboards for pipeline and cluster monitoring
  • Feast, RedisFeatureStore, or custom metadata-driven feature registries
  • Apache Beam, Debezium CDC, and Iceberg/Delta Lake for ACID data-lake workloads
  • Terraform, Crossplane, Pulumi, and Kubernetes Operators (Kubebuilder) for IaC
  • Loki log aggregation and OpenTelemetry tracing for enhanced observability
  • gNMI/gRPC collectors, NetFlow/IPFIX parsers, SNMP polling frameworks for telco data

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