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Tier-1 brand, Bangalore metro, mid-level generalist data-engineer role with broad tech stack increases candidate competition.
Technical data-engineering skills are broadly transferable across industries though consulting preference yields medium sensitivity.
Explicit 5-8 years plus extensive mandatory tech stack makes shortlisting highly strict.
Design and develop data pipelines, integration, and transformation solutions for efficient data processing and analysis.
Leverage big data technologies and cloud platforms (primarily AWS) to enable actionable business insights.
Implement and manage CI/CD frameworks related to data engineering workflows and code repositories.
5-8 years of professional experience in data engineering or related fields.
Mandatory skills include Big Data, AWS, SQL, Python/Scala, Spark, S3, Glue, EMR, Aurora PostGres, Lambda, Kinesis, Kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog.
Educational qualifications: B.Tech / M.Tech / M.E / MCA / B.E in relevant field.
Experience with CI/CD frameworks and cloud-based data technologies is required; knowledge of Snowflake is preferred.
Experienced in handling large-scale data infrastructure and cloud-based data engineering in an advisory or consulting environment.
Proficient with a wide range of big data and streaming technologies, including Kafka, Airflow, DBT, and Flink, for real-time and batch data processing.
Capable of implementing end-to-end data solutions using cloud platforms, especially AWS, with emphasis on scalability, automation, and efficiency.