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Urgent! Data Engineer – Python | dbt | Redshift | AWS Job | Catalyst Info Labs

Data Engineer – Python | dbt | Redshift | AWS



Job description

Data Engineer – Python | dbt | Redshift | AWS


About the Company


Catalyst Info Labs Pvt.

Ltd.
is a growing software solutions company focused on developing scalable, data-driven platforms that empower businesses with actionable insights.

We are looking for a skilled Data Engineer to join our team and contribute to the design, development, and optimization of high-performance data pipelines and infrastructure.


Key Responsibilities


  • Design, develop, and maintain data pipelines and ETL/ELT processes to support analytics and business operations.
  • Build and optimize data models using dbt (data build tool) and manage transformations within Amazon Redshift.
  • Write and optimize SQL queries for data processing and reporting.
  • Ensure the reliability, performance, and scalability of data infrastructure on AWS.
  • Collaborate with cross-functional teams including data analysts, scientists, and business stakeholders to ensure data quality and usability.
  • Implement and manage version control using Git for dbt projects.
  • Support workflow orchestration using tools such as Airflow, Dagster, or Prefect.
  • Maintain documentation for data pipelines, models, and processes.


Required Technical Skills


  • Strong proficiency in Python for data processing, automation, and ETL pipeline development.
  • Hands-on experience with dbt for transformation and data modeling.
  • In-depth knowledge of Amazon Redshift architecture, optimization, and best practices.
  • Expertise in SQL, including complex queries, window functions, and performance tuning.
  • Understanding of data warehouse design principles, dimensional modeling, and star/snowflake schemas.
  • Experience working with AWS services such as S3, Lambda, Glue, and Step Functions.
  • Familiarity with IAM policies, data security, and access management within AWS.


Preferred Qualifications


  • Experience with CI/CD implementation for data pipelines.
  • Exposure to data governance and data lineage tools.
  • Experience with Snowflake, BigQuery, or other cloud data warehouses.
  • Knowledge of streaming technologies such as Kafka or Kinesis.
  • Experience with Infrastructure as Code tools like Terraform or CloudFormation.


Experience Levels


  • Junior (1–3 years): Exposure to dbt and Redshift.
  • Mid-level (3–5 years): Proven experience managing production data pipelines.
  • Senior (5+ years): Expertise in data architecture, performance optimization, and mentoring.


Soft Skills


  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication abilities.
  • Attention to detail with a focus on data quality, testing, and monitoring.
  • Ability to collaborate effectively in a fast-paced, cross-functional environment.


How to Apply


Interested candidates can apply directly on LinkedIn or send their resumes to hr@catalystinfolabs.com

 with the subject line: “Application – Data Engineer – [Your Name]”


Required Skill Profession

Computer Occupations



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