Data Engineering- DBT, ETLELT, Snowflake,Data Modelling, Python, Airflow, DAX
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Summary:
We are looking for a Lead Engineer to provide technical architecture oversight and solution design for our data products. This role ensures that engineering best practices are followed systems are scalable and technical debt is minimized. You will guide the engineering team and ensure alignment with clients wider data architecture strategy.
Key Responsibilities:
Define and oversee the technical architecture for data pipelines integrations and services.
Conduct code reviews enforce coding standards and ensure adherence to security/compliance guidelines.
Collaborate with the clients Architecture teams to align on technology stacks and future-state roadmaps.
Mentor engineers and troubleshoot complex technical issues.
Translate product requirements into technical specifications and high-level design documents.
Design develop and optimize ETL/ELT pipelines to move data from source systems to data warehouses/lakes.
Implement data quality checks and monitoring to ensure data accuracy and integrity.
Collaborate with Data Analysts and Scientists to understand data requirements and ensure data availability.
Maintain and improve existing data infrastructure and workflows.
Troubleshoot pipeline failures and performance bottlenecks.
Required Skills & Experience:
6 to 8 years of experience in data engineering or software architecture.
Deep expertise in cloud platforms (AWS Azure or GCP) and modern data stack tools.
Strong knowledge of data modeling ETL/ELT processes and orchestration frameworks (Airflow Dagster).
Experience with programming languages such as Python or SQL.
Experience with Fivetran and DBT
Excellent problem-solving skills and ability to make trade-off decisions between speed and quality.
Experience with Snowflake cloud data warehouses
Hands-on experience with orchestration tools (Apache Airflow Prefect).
Familiarity with version control (Git) and CI/CD principles.
Qualifications :
Graduate/Post Graduate
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable busin ... View more
