Fullstack data engineer_Quinnox
Fullstack data engineer_Quinnox
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Job Description
We need profiles here on urgent basis. The candidate has to join by 15th June. Hence the movement will be very fast. Please only share immidate joiners.
Kindly do comply with the experience criterias.
Experience: 8 years to 13 years
Work location:Bangalore
Shift: 2 PM to 11 PM
Notice Period: Immediate
Hybrid Mode:10 days in a month Work from office
Skill Sets: Minimum 3 years in SQL Snow flake and Python
DBT- 1 years
Budget - 25 Lakhs
We are seeking a Full-Stack Data Engineer to design develop and manage scalable data pipelines storage and transformation solutions. This role requires expertise in cloud-based data platforms data warehouse / data lake house design and development workflow automation and data integration to support business intelligence and analytics. The ideal candidate will have a strong background in data engineering cloud technologies and software development with a focus on performance security (especially data segregation) and automation.
Key Responsibilities
1. Data Platform Design & Implementation
Architect and deploy scalable secure and high-performing Snowflake environments in line with data segregation policies.
Automate infrastructure provisioning testing and deployment for seamless operations.
2. Data Integration & Pipeline Development
Develop optimize and maintain data pipelines (ETL/ELT) to ensure efficient data ingestion transformation and migration.
Implement best practices for data consistency quality and performance across cloud and on-premises systems.
3. Data Transformation & Modeling
Design and implement data models that enable efficient reporting and analytics.
Develop data transformation processes using Snowflake DBT and Python to enhance usability and accessibility.
4. Networking Security & Compliance
Configure and manage secure network connectivity for data ingestion.
Ensure compliance with GDPR CISO policies and industry security standards.
5. Data Quality & Governance
Ensure the Data Segregation Policy is firmly followed for the data sets enabled.
Implement data validation anomaly detection and quality assurance frameworks.
Collaborate with the Data Governance team to maintain compliance and integrate quality checks into data pipelines.
6. Real-Time & Batch Data Processing
Build and optimize real-time streaming and batch processing solutions using Kafka Kinesis or Apache Airflow.
Ensure high-throughput low-latency data processing efficiency.
7. Stakeholder Collaboration & Business Alignment
Work closely with business stakeholders analysts and data teams to deliver tailored solutions.
Translate complex technical insights for both technical and non-technical audiences.
8. Performance Optimization & Continuous Improvement
Identify and implement automation cost optimization and efficiency improvements in data pipelines.
Qualifications & Experience
Education:
Bachelors degree in Computer Science Data Science Information Systems or related field (Masters preferred).
Experience:
8 years in data engineering analytics engineering or related fields.
Proven experience with Snowflake DBT Snaplogic and modern data technologies.
Expertise in cloud data platforms real-time & batch processing and CI/CD automation.
Strong background in data modeling architecture and cost-efficient pipeline management.
Experience in deploying data segregation policies especially logical segregation. Ideally being able to design these policies or support the teams with the design.
Technical Skills
Data Engineering & Warehousing: Snowflake (must have) DBT (must have) Snaplogic ETL/ELT APIs Data Warehousing & Lakehouse Architecture.
Programming & Scripting: Advanced SQL Python DBT Bash/Shell scripting.
Cloud & Infrastructure: AWS/Azure/GCP Terraform CloudFormation Security (IAM VPN Encryption).
Data Processing: Kafka Kinesis Apache Airflow Dagster Prefect.
DevOps & CI/CD: Git GitHub Actions Jenkins Docker Kubernetes.
Data Governance & Quality: Data validation metadata management GDPR CCPA compliance.
Soft Skills
Strong communication skills for both technical and non-technical audiences.
Aptitude for bridging the gap between technical and business-focused groups.
Comfortable engaging with individuals at all organisational levels.
Problem-solving & analytical mindset proactive and solution-oriented.
Agile delivery experience (Scrum Kanban) with the ability to scope estimate and deliver tasks independently.
Innate drive to learn and adopt new skills and technologies
Proficiency in managing projects efficiently and addressing challenges collaboratively and proactively.
PFB submission tracker format -
Name
Skill
Notice Period
Preferred Location
Contact Number
Personal E-Mail
Current Company
Total Yrs of Exp
Relevant Yrs of Exp
Expected CTC
Employment Type
Full Time
