Python Data Engineer
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Job Description
Overview
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.
Position: Python Data Engineer
Location: Bangalore/Gurugram
Work Type: Hybrid
Job Type: Full Time
Shift timings: UK/US shift
Job Description
Data Engineer (DBT + Airflow + Python) - 5+ Years
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.
Position: Python Data Engineer
Location: Bangalore/Gurugram
Work Type: Hybrid
Job Type: Full Time
Shift timings: UK/US shift
Job Description
Data Engineer (DBT + Airflow + Python) - 5+ Years
- We are looking for an experienced Data Engineer with strong expertise in DBT, Apache Airflow, and Python to design, develop, and maintain scalable data pipelines and transformation frameworks.
- The ideal candidate will have hands-on experience in building modern data platforms, workflow orchestration, ETL/ELT development, and cloud-based data warehousing solutions.
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python, DBT, and Apache Airflow.
- Build and manage Airflow DAGs for workflow orchestration, scheduling, monitoring, and dependency management.
- Develop reusable and optimized DBT models, snapshots, tests, and macros for data transformation.
- Implement data quality checks, validation frameworks, and reconciliation processes across data pipelines.
- Develop and optimize Python scripts for data ingestion, transformation, automation, and exception handling.
- Work with structured and semi-structured data formats such as JSON, CSV, and Parquet.
- Integrate data from multiple sources into enterprise data warehouses and analytics platforms.
- Monitor, troubleshoot, and resolve data pipeline failures and performance bottlenecks.
- Collaborate with Data Architects, Analysts, and Business stakeholders to understand and deliver data requirements.
- Ensure adherence to best practices around coding standards, version control, testing, and deployment.
- Participate in production support, incident resolution, and root cause analysis activities.
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with DBT (Data Build Tool).
- Strong experience with Apache Airflow including DAG development, scheduling, monitoring, and workflow orchestration.
- Proficiency in Python for ETL development, automation, and data processing.
- Strong SQL skills with experience in writing complex queries and performance tuning.
- Experience developing and supporting enterprise-scale ETL/ELT pipelines.
- Knowledge of data modeling concepts including Star Schema and Dimensional Modeling.
- Experience with Git-based version control systems.
- Experience with Snowflake, Redshift, BigQuery, or other cloud data warehouses.
- Experience with AWS services such as S3, Glue, Lambda, or EMR.
- Exposure to CI/CD pipelines and DevOps practices.
- Experience working in Agile/Scrum environments.
- Familiarity with data quality, governance, and observability frameworks.
- Snowflake Streams, Tasks, Snowpipe.
- DBT Cloud.
- PySpark or Spark.
- Terraform or Infrastructure as Code.
- Monitoring and alerting tools.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- DBT, Apache Airflow, Python, SQL, ETL, ELT, Data Engineering, Snowflake, AWS, Data Warehousing, Data Modeling, CI/CD, Git, Cloud Data Platforms.
More Info
Key Skills
CI CD
Cloud Data Platforms




