Data Engineer

Title: Data Engineer

Location: Bangalore

Work Mode: Hybrid

This role is for an individual contributor responsible for independently developing and delivering end-to-end data solutions for fraud detection, reporting, and Machine Learning (ML).

Key Responsibilities

Drive efficiency by mapping data flows and ensuring standardization in line with data governance.

Develop real-time event-based streaming data pipelines and efficient, scalable data ingestion solutions.

Unify disparate datasets into well-managed solutions.

Own end-to-end data and data applications by defining, monitoring, and adjusting relevant SLIs and SLOs.

Ensure compliance with data-related requirements and proactively monitor system performance.

Key Skills

4+ years of experience in data engineering or a related field.

2+ years of experience building data pipelines at scale, with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL.

Experience with server-side programming languages, preferably Scala, Java, Python, or Perl.

Experience with AWS based databases and services (such as DynamoDB, RDS, Kinesis, S3).

Experience in building data lake, data warehouse solutions (e.g., Snowflake), data modeling, and data streaming.