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PwC brand, Bangalore metro, mid-level generalist data engineer role with broad tech requirements.
Core data engineering skills transferable, but consulting and Azure/AWS specifics increase domain fit sensitivity.
Explicit 5-8 years plus extensive mandatory big-data and cloud technology requirements.
Design and develop data pipelines, data integration, and transformation solutions to enable efficient data processing and analysis.
Leverage big data technologies and cloud platforms (primarily AWS) to build robust data infrastructure and systems.
Utilize advanced tools and frameworks such as Spark, Kafka, Airflow, DBT, Flink, Apache Iceberg, and Datadog for engineering scalable data solutions.
5-8 years of relevant work experience in data and analytics engineering or related roles.
Mandatory skills include Big Data, AWS, SQL, Python/Scala, Spark, S3, Glue, EMR, Aurora Postgres, Lambda, Kinesis, Kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog.
Education: Bachelor’s degree in Technology (B.Tech) or equivalent (M.Tech/M.E/MCA preferred).
Experience with CI/CD implementation using code repositories such as GitHub.
Experienced in handling end-to-end data engineering responsibilities on cloud-based big data platforms, particularly AWS.
Proficient in multiple programming languages relevant to data processing such as Scala and/or Python.
Comfortable working with a diverse set of modern data tools and frameworks indicating an operational and technical depth in data pipeline orchestration and monitoring.