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DATA ENGINEER

- EXPERIENCE - 5-8 yrs
- LOCATION - NOIDA
- WORK MODE - HYBRID

Job Description:

Key Responsibilities:

- Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake.
- Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting.
- Cloud Infrastructure : Leverage AWS services (e.g., S3, Redshift, Lambda, Glue) for data storage, processing, and orchestration.
- Automation & Infrastructure as Code : Use Terraform to automate and manage cloud infrastructure deployments and ensure scalability, reliability, and efficiency.
- Reporting & Visualization : Collaborate with BI teams to integrate data with Tableau for reporting, dashboards, and analytics.
- Data Quality & Governance : Implement best practices for data quality, governance, and security in line with company policies.
- Performance Optimization : Continuously monitor and improve the performance of data systems and pipelines, ensuring low-latency and high-availability.
- Collaboration : Work closely with cross-functional teams (data scientists, analysts, product managers) to deliver actionable insights and products.
- Troubleshooting & Support : Provide ongoing support to ensure that data systems and pipelines are running smoothly and addressing issues as they arise.

Skills & Qualifications:





- Experience with Snowflake : Proficiency in Snowflake for data warehousing, including data loading, transformation, and optimization.
- AWS Expertise : Hands-on experience with AWS tools such as S3, Redshift, Lambda, Glue, and others for data processing and storage.
- Data Pipeline Development : Experience building and maintaining end-to-end data pipelines using tools like Apache Airflow, DBT, or similar.
- Tableau : Solid experience in integrating and visualizing data in Tableau for reporting and dashboard creation.
- Terraform : Experience in Infrastructure as Code (IaC) using Terraform to manage cloud resources.
- SQL Proficiency : Strong SQL skills for data querying, transformation, and troubleshooting.
- Programming : Familiarity with Python or other programming languages for building custom data pipelines and automation.
- Data Governance & Security : Understanding of data governance principles, security best practices, and compliance requirements.
- Communication : Solid communication skills to collaborate with technical and non-technical teams.

Nice to Have:

- Experience with containerization (Docker, Kubernetes).
- Knowledge of machine learning models and integration into data pipelines.
- Agile or Scrum methodology experience.
- Familiarity with CI/CD processes for data engineering workflows.

Apply on Kit Job: kitjob.in/job/43nxn0

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