Senior Data Engineer

Role: Senior Data Engineer
Location:  
Employment Type: Contract Position
Experience: Senior (10+ Years)

Job requirements (skills / technical experience):

- 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.

If you're interested, please share your updated resume to:

Best Regards,
Recruitment Team
Mash IT Solutions