Data Engineer – GCP | DBT/Dataform | Python | Alteryx

Additional Important Note For Applicants

• Currently, only immediate joiners (who have already completed their notice period) or candidates serving a notice period of up to 30 days will be considered for this opportunity.
• Candidates with longer notice periods may not be considered at this stage due to urgent project requirements.

Important Note for Applicants Kindly read the job description carefully before applying. Please apply only if your experience, technical skills, and notice period align with the mandatory requirements mentioned above. Profiles that do not meet the core criteria may face rejection during the screening process, which can lead to unnecessary time and effort from both sides. We appreciate your understanding and cooperation. Data Engineer – GCP | DBT/Dataform | Python | Alteryx

Location: Chennai, India

Experience Required: 4–8 Years

Job Openings: 2 Positions

Work Mode: Hybrid

Shift Type: Day Shift

Employment Type: Full-time Role Overview 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. Key Responsibilities

• 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. Must-Have Skills
• 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
• Experience with ML pipeline orchestration and data workflow management.
• Good understanding of Apache Airflow for workflow scheduling and orchestration.
• Strong problem-solving and analytical skills.
• Good communication and collaboration skills. Nice-to-Have Skills
• Experience with cloud-based data warehouse architecture.
• Knowledge of data modeling concepts and best practices.
• Experience with CI/CD practices for data engineering workflows.
• Familiarity with machine learning workflow pipelines.
• Experience with additional ETL/ELT tools.
• Knowledge of data quality frameworks and monitoring solutions.
• Experience optimizing cloud data processing costs and performance.

Required Qualifications

• 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. Interview Process
• 2 rounds of interviews.
• Interview Mode: Video/Virtual.
• Candidates should be available for further discussions within a short turnaround time. Candidate Preference
• Immediate joiners preferred.
• Candidates with stable work experience and strong hands-on technical expertise are preferred. Skills: dataflow,ml pipeline orchestration,automation,data preparation,apache airflow,gcp,data fusion,data engineering,workflow automation,data engineering/development,dbt,dataproc,transformation,pipeline development,dataform for data transformation,bigquery,cloud sql,python,alteryx