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High: strong PwC brand, mid-level data engineer role, Bangalore metro, and broadly sought cloud data skills.
Medium: core data engineering skills transfer across industries, but Databricks/Snowflake cloud platform experience raises specificity.
High: explicit 5–8 years requirement plus mandatory SQL, Python, PySpark, Databricks/Snowflake and cloud experience.
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Design and implement scalable data pipelines and data models primarily in cloud environments like Databricks and Snowflake.
Develop and optimize complex SQL queries and ETL workflows using Python and PySpark for large-scale data processing.
Implement data governance and security best practices while collaborating cross-functionally to translate business needs into technical solutions.
5+ years of hands-on experience in Data Engineering.
Proficiency in SQL, Python, PySpark, and experience with cloud data warehouses (Azure/AWS) and data modeling in Databricks and Snowflake.
Education: BE/B.Tech/ME/M.Tech/MBA/MCA with minimum 60% marks.
Experience with ETL/ELT processes and strong knowledge of dimensional modeling and star schema design.
Experienced in building and optimizing large-scale, cloud-based data architectures with a focus on performance and cost-efficiency.
Skilled at translating complex business requirements into robust technical solutions within fast-evolving data and analytics environments.
Comfortable with advanced data engineering tools and concepts including data governance, data lake architectures, and real-time streaming technologies, though these are preferred rather than mandatory.