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Umanist NA
Data Engineer – GCP | DBT/Dataform | Python | Alteryx
Umanist NA
Chennai•Hybrid•4-7 Yrs•1 day ago
Job description
Hybrid
Overview
Additional Important Note For Applicants
Responsibilities
- We are seeking an experienced Data Engineer with strong expertise in Google Cloud Platform (GCP), data pipeline development, Python automation, and data transformation tools. The ideal candidate will have hands-on experience with DBT/Dataform, Alteryx, cloud data engineering, and workflow orchestration to build scalable and efficient data solutions.
- The role involves designing, developing, and maintaining data pipelines, performing data transformations, automating workflows, and working with modern cloud-based data platforms.
- Design, develop, and maintain scalable data pipelines and data engineering solutions.
- Build and manage data transformation workflows using DBT or Dataform.
- Develop Python-based automation scripts and data processing solutions.
- Perform data preparation, transformation, and workflow automation using Alteryx.
- Work with Google Cloud Platform services to build and optimize data solutions.
- Develop and maintain data pipelines using services such as BigQuery, Dataflow, Dataproc, Data Fusion, and Cloud SQL.
- Implement and manage workflow orchestration using Apache Airflow.
- Collaborate with analytics, engineering, and business teams to deliver reliable data solutions.
- Optimize data processing performance, reliability, and scalability.
- Follow best practices for data quality, security, and engineering standards.
Qualifications
- Job Openings: 2 Positions
- Work Mode: Hybrid
- Shift Type: Day Shift
- Employment Type: Full-time
- 4+ years of overall IT experience with 3+ years of hands-on experience in Data Engineering/Development.
- Strong hands-on experience with DBT or Dataform for data transformation and pipeline development.
- Proficiency in Python for data engineering, scripting, and automation.
- 3+ years of experience working with Alteryx for:
- Data preparation
- Data transformation
- Workflow automation
- Hands-on experience with Google Cloud Platform (GCP).
- Strong experience with GCP data services, including:
- BigQuery
- Dataflow
- Dataproc
- Data Fusion
- Cloud SQL
- Good understanding of Apache Airflow for workflow scheduling and orchestration.
- Strong problem-solving and analytical skills.
- Good communication and collaboration skills.
- Knowledge of data modeling concepts and best practices.
- Familiarity with machine learning workflow pipelines.
- Knowledge of data quality frameworks and monitoring solutions.
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field.
- Strong understanding of modern data engineering practices.
- Ability to work in a collaborative and fast-paced environment.
- 2 rounds of interviews.
- Interview Mode: Video/Virtual.
- Candidates should be available for further discussions within a short turnaround time.