Avalara - Lead Cloud Data Analytics Engineer - IIT/REC/NIT/BITS
1 week ago
- ONLY ENGINEERING GRADUATES ( COMPUTER SCIENCE AND RELATED FIELDS ONLY )
- Candidates should be from product firms only ( No services firms )
- Candidates from top tier institutes ( IIT / REC NIT ) & BITS
Lead Cloud Data Analytics Engineer
We are looking for a talented, highly motivated
Lead Cloud Data Engineer to join our team
Responsibilities :
- Design, develop, and maintain data pipelines for collecting, processing, and analysing security-related data from various sources; apply best practices for data integrity, reliability, and scalability in the security data pipeline.
- Work closely with partner security teams, leadership, and engineering to design and implement security solutions that measurably reduce risk in Avalaras cloud environments.
- Engineer automated solutions as code for multiple hyperscale cloud providers
- Ensure that the security data pipeline complies with relevant security standards, regulations, and industry best practices; collaborate with compliance teams to implement necessary controls and reporting mechanisms.
- Performing code and design reviews of internal and customer-facing software products and solutions
- Maintain comprehensive documentation of the security data pipeline architecture, configurations, and processes; generate regular reports on the performance of the pipeline, data quality, and incidents :
- Bachelors Engineering degree in computer science, information security, or relevant experience.
- Minimum of 8+years of relevant professional experience in design and development role.
- Expert level experience in SQL.
- Experience architecting complex data marts leveraging dbt and Airflow.
- Demonstrated ability to architect and build data solutions that leverage data quality and anomaly detection best practices.
- Experience building production analytics using the Snowflake data platform.
- Experience in DevOps or DataOps, using Git, or Terraform.
- Understanding of common container and orchestration technologies such as Docker, Container, CI/CD and Kubernetes.
- Excellent experience in AWS data engineering ecosystem, Snowflake tools and implement data security domain.
- Experience designing secure cloud architectures in a hyper-scale cloud service provider (AWS,GCP or Azure or OCI)
- Advanced knowledge of common cloud security services and tools such as Identity and Access Management (IAM), RBAC Automation and other data security practices.
- Strong understanding of data governance and data security best practices.
Good to have :
- Understand global data security requirements such as GDPR, SOC 2, US State by State privacy requirements, PII
- Experience analysing website traffic data and network data
- Ability to drive program maturity by evangelizing modern secure architectures and services.
- AWS or any professional data security certification.
- Experience in data Modelling
- Experience with data visualization (PowerBI/Tableau/Hex/R-shiny, etc.) and data you are likely to be working with :
- Snowflake, Cloud Computing (AWS and GCP), Python, RDBMS, Mongo, Airflow, orchestration technologies such as Docker, Container, CI/CD and Kubernetes,
- Expert level experience in SQL,
- Experience in common cloud security services and tools such as Identity and Access Management (IAM) and good to have experience in HEX/R-Shiny/PBI/Tableau.
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