Data Quality Engineer
15 hours ago
Role Overview
We are seeking a highly skilled and motivated
Data Quality Engineer|| Bangalore with 8+ years
of experience. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from you
About Us
CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas.
Key Responsibilities
- Design, build, and maintain
data pipelines
using Python, SQL, and PySpark or ETL tools. - Develop and optimize
ELT/ETL workflows
for large-scale datasets. - Work extensively with
Snowflake
and data warehousing concepts (schema design, performance optimization, snowpipe, etc.). - Implement and maintain
data quality frameworks
, validation checks, reconciliation logic, and automated testing. - Ensure data accuracy, consistency, and reliability across ingestion, transformation, and consumption layers.
- Collaborate with analytics, BI, and product teams to understand data requirements.
- Implement scalable, secure, and cost-optimized solutions on
AWS / GCP / Azure
. - Integrate data pipelines into
CI/CD
workflows for automated deployment and monitoring. - Troubleshoot data issues, performance bottlenecks, and pipeline failures.
- Develop documentation for data flows, mapping, and operational processes.
Required Skills & Qualifications
- Strong hands-on experience with
Python
and
advanced SQL
. - Expertise in
PySpark
or enterprise
ETL tools
(Informatica, Talend, DataStage, etc.). - Proven experience with
Snowflake
and data warehousing architectures. - Strong understanding of
data quality frameworks
, testing methodologies, and automation. - Experience with at least one cloud platform:
AWS, GCP, or Azure
. - Knowledge of
CI/CD
tools (Git, Jenkins, GitLab CI, Azure DevOps, etc.). - Solid understanding of data modeling, performance tuning, and batch/streaming pipelines.
- Excellent problem-solving, communication, and documentation skills.
Good to Have
- Experience with Airflow, dbt, or cloud-native orchestration tools.
- Knowledge of Kafka, Kinesis, or other streaming technologies.
- Familiarity with containerization (Docker/Kubernetes).
- Experience with BI/reporting integrations.
Why Join CodeVyasa?
- Work on innovative, high-impact projects with a team of top-tier professionals.
- Continuous learning opportunities and professional growth.
- Flexible work environment with a supportive company culture.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage.
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