Data Engineer – Python | dbt | Redshift | AWS

7 days ago

Delhi, India Catalyst Info Labs Full time

Data Engineer – Python | dbt | Redshift | AWSAbout the CompanyCatalyst 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 ApplyInterested candidates can apply directly on LinkedIn or send their resumes to the subject line: “Application – Data Engineer – (Your Name)”

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