- Career Growth Opportunities
- Open Communication Culture
- Good Incentives
about the company
Randstad has partnered with a software solutions company, building innovative and reliable solutions for their clientele. Your future employers are building a tech team who are capable of keeping up with the latest technologies and aligned in building great solutions
key responsibilities:
Pipeline Development: Design, build, and maintain scalable, automated ETL/ELT data pipelines using Python and Apache Airflow.
Data Warehousing: Manage and optimize data structures within our Cloud Data Warehouse (e.g., Snowflake, BigQuery, or Redshift) for maximum performance and cost efficiency.
Data Quality: Implement automated testing, validation checks, and monitoring to ensure data accuracy and pipeline reliability.
Collaboration: Partner closely with Data Analysts, Data Scientists, and product teams to understand their data needs and deliver clean, well-structured schemas.
Code Quality: Write clean, documented, and production-grade code, participating actively in team code reviews.
requirements:
4+ years of professional experience in a data engineering role.
Strong proficiency in Python (writing clean, modular code, handling APIs, and manipulating data).
Advanced SQL skills (writing complex queries, window functions, and optimizing performance).
Hands-on experience building, scheduling, and troubleshooting DAGs in Apache Airflow.
Production experience working with a modern Cloud Data Warehouse (such as Snowflake, Google BigQuery, or AWS Redshift).
Familiarity with version control (Git) and standard CI/CD practices.
nice to haves:
Experience with data transformation tools like dbt (data build tool).
Exposure to Docker or Kubernetes.
Basic understanding of cloud infrastructure (AWS, GCP, or Azure).
how to apply
Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.
Sundar Ravindran | Randstad