Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, Bengaluru metro, mid-level generalist Data Engineer with broad stack makes hiring highly competitive.
Core data engineering skills are transferable, though marketing and LLM experience increase domain specificity.
Explicit 5+ years and mandatory Snowflake, dbt, SQL, PySpark, and AWS make filters strict.
Design, build, and maintain scalable and secure data pipelines and products to support Analytics, ML, Generative AI, and LLM-based applications.
Drive tool selection, data ingestion, data wrangling, and data catalog development to enable data-driven marketing and digital transformation.
Collaborate with stakeholders and data scientists to optimize data delivery, improve infrastructure scalability, and provide actionable business insights.
5+ years of hands-on experience in a Data Engineer role.
5+ years of experience with Snowflake and dbt including advanced dbt concepts like macros and Jinja templating.
Proficient in SQL, Python, PySpark, and AWS data engineering services (S3, EC2, Glue, Lambda, RDS, Redshift).
Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
Experience working with unstructured data and modern data techniques such as semantic layers, embeddings, and Retrieval-Augmented Generation (RAG).
Familiarity with marketing domain knowledge and Agile methodologies preferred.
Proven track record optimizing big data pipelines and collaborating in globally distributed teams.