Data Engineer

4 days ago

New Delhi, India Altysys Full time

Experience - 5 + YearsSkills- Snowflakes + AWSAbout the RoleWe are seeking a highly skilled Snowflake + AWS Engineer with strong expertise in cloud-based data engineering, ETL pipeline development, and modern data warehouse architecture. The ideal candidate will have a proven track record of implementing scalable, high-performance data solutions using Snowflake on AWS Cloud.Key Responsibilities- Design, develop, and maintain data pipelines using Snowflake, AWS services, and Python/SQL-based ETL tools. - Architect and implement data models, schemas, and warehouse structures optimized for analytics and reporting. - Manage and optimize Snowflake environments, including performance tuning, cost optimization, and role-based access control. - Build and orchestrate data workflows using AWS services such as Glue, Lambda, Step Functions, S3, and Athena. - Integrate data from multiple sources (APIs, RDBMS, flat files, streaming data, etc.) into Snowflake. - Implement and manage data security, governance, and compliance standards across platforms. - Collaborate with Data Scientists, Analysts, and DevOps teams to ensure data availability, accuracy, and reliability. - Monitor and troubleshoot production data pipelines and performance issues. - Implement CI/CD automation for data pipelines using tools like Terraform, CloudFormation, or Jenkins.Required Skills & Qualifications- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 5+ years of experience in data engineering, with at least 2+ years of hands-on Snowflake experience. - Strong proficiency in SQL and Python for data transformation and automation. - Hands-on experience with AWS Cloud services: S3, Glue, Lambda, Redshift, IAM, CloudWatch, and Step Functions. - Experience with ETL/ELT tools such as dbt, Airflow, Talend, or Informatica Cloud. - Solid understanding of data warehousing concepts, star/snowflake schemas, and data modeling techniques. - Knowledge of data security, encryption, and key management on AWS and Snowflake. - Strong analytical, problem-solving, and performance tuning skills. - Experience with version control (Git) and CI/CD pipelines for data projects.Good to Have- Experience with Databricks or Apache Spark. - Exposure to Terraform, Kubernetes, or Docker for deployment automation. - Familiarity with AWS cost optimization and FinOps best practices. - Knowledge of modern data architectures such as Data Lakehouse or Data Mesh.Soft Skills- Excellent communication and documentation skills. - Ability to work in agile, fast-paced environments. - Strong sense of ownership, accountability, and teamwork.

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