Data Engineer

10+ years of experience in Data Engineering, with a proven track record of designing and building data pipelines and architectures at scale.

• At least 4 years of hands-on experience with Snowflake, including data modeling and query optimization, designing and implementing multi-layered data architectures
• Experience with cloud services, preferably AWS (e.g., S3, EMR, EC2, Redshift, Athena, Lambda, Glue), for designing, deploying, and managing scalable data solutions.
• Strong experience in Big Data technologies like Spark (Python/Scala) for large-scale data processing.
• Proficiency in Data Orchestration and Integration tools, such as Apache Airflow, Apache NiFi, DBT, or equivalent.
• Expertise in working with relational (e.g., SQL Server, PostgreSQL) and columnar databases (e.g., AWS Redshift, Snowflake), with advanced SQL query writing skills.
• Hands-on experience with Kafka or equivalent streaming data systems to process real-time data.
• Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
• Proven ability to collaborate with offshore teams and coordinate across time zones to deliver successful projects.
• Experience with version control systems like Bitbucket or GitHub, and project management tools such as Jira, with familiarity in working within an Agile/Sprint model.
• Good to have experience with Jenkins for continuous integration and deployment (CI/CD) pipelines and Terraform for infrastructure as code (IaC) automation.