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PwC brand, mid-level (5-8yrs) data role in Bangalore with broad skillset increases candidate competition.
Core big data and cloud engineering skills are highly transferable across industries.
Explicit 5-8 years and numerous mandatory technologies imply high selection strictness.
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Design and build data infrastructure and pipelines using big data technologies and cloud (AWS) to enable efficient data processing and analytics.
Develop and implement data integration, transformation, and automation solutions using Spark, Scala/Python, Kafka, Airflow, DBT, Flink, and Apache Iceberg.
Implement and maintain CI/CD frameworks in conjunction with code repositories such as Github to support data engineering workflows.
5-8 years of experience in big data 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 Engineering (B.Tech/B.E) or equivalent (M.Tech/M.E/MCA).
Experience with CI/CD frameworks and code repositories like Github; knowledge of Snowflake is a strong plus.
Proven expertise in end-to-end big data pipeline development and cloud data infrastructure on AWS.
Strong programming skills in Spark and Scala and/or Python with operational experience in streaming and batch data processing technologies.
Experience working in data-centric advisory or consulting environments focusing on scalable, production-grade data solutions.