Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand plus common mid-level Data Engineer role in a metro with broad skill requirements.
Core data engineering and cloud skills are highly transferable across industries.
Requires multiple mandatory data engineering skills (SQL, Python, Azure, Spark) but no explicit years requirement.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and curated datasets to power analytics, reporting, and data products using modern cloud and data engineering tools.
Build and support batch and streaming ETL/ELT pipelines, data ingestion from various sources, and data quality monitoring including validation and reconciliation.
Collaborate with analysts, product owners, and engineers to understand data needs; contribute to documentation, code reviews, incident resolution, and compliance with data governance/security policies.
Minimum Requirements
Bachelor's degree in Computer Science or equivalent.
Experience with SQL (DDL, DML, joins, aggregations, stored procedures, window functions) and programming in Python (preferred) or Java/Scala.
Exposure to Azure cloud platform services including Data Lake, Blob/Object storage, Spark/Databricks/Synapse, Event Hub/Azure Stream Analytics, and orchestration tools like Synapse and ADF pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building and maintaining data engineering pipelines in a cloud environment with a focus on data quality, security, and performance.
Comfortable working across teams including product management, DevOps, and business stakeholders to deliver high-quality data solutions and documentation.
Has practical knowledge of data modelling (star schema, slowly changing dimensions), DevOps basics (CI/CD pipelines, IaC tools like Terraform), and debugging/troubleshooting pipelines.