Data Engineer @ Trantor

Job Description

We are looking for a skilled and motivated Data Engineer with deep expertise in GCP,
BigQuery, Apache Airflow to join our data platform team. The ideal candidate should have hands-on experience building scalable data pipelines, automating workflows, migrating large-scale datasets, and optimizing distributed systems. The candidate should have experience with building Web APIs using Python. This role will play a key part in designing and maintaining robust data engineering solutions across cloud and on-prem environments.

Key Responsibilities
BigQuery & Cloud Data Pipelines:
Design and implement scalable ETL pipelines for ingesting large-scale datasets.
Build solutions for efficient querying of tables in BigQuery.
Automated scheduled data ingestion using Google Cloud services and scheduled
Apache Airflow DAGs

Airflow DAG Development & Automation:
Build dynamic and configurable DAGs using JSON-based input to be reused across
multiple data processes
Create DAGs for data migration to/from BigQuery and external systems (SFTP,
SharePoint, Email etc.)
Develop custom Airflow operators to meet business needs

Data Security & Encryption:
Build secure data pipelines with end-to-end encryption for external data exports and
imports

Data Migration & Integration:
Experience in data migration and replication across various systems, including
Salesforce, MySQL, SQL Server, and BigQuery

Required Skills & Qualifications:
Strong hands-on experience with Google BigQuery, Apache Airflow, and Cloud
Storage (GCS/S3)
Deep understanding of ETL/ELT concepts, data partitioning, and pipeline scheduling
Proven ability to automate complex workflows and build reusable pipeline frameworks
Programming knowledge in Python, SQL, and scripting for automation
Hands-on experience with building web APIs/applications using Python
Familiarity with cloud platforms (GCP/AWS) and distributed computing frameworks
Strong problem-solving, analytical thinking, and debugging skills
Basic understanding of Object Oriented Fundamentals
Working knowledge of version control tools like Gitlab, Bitbucket
Industry Knowledge & Experience
Experience with deep expertise in Google BigQuery, Apache Airflow, Python, and
SQL
Experience with BI tools such as DOMO, Looker, and Tableau
Working knowledge of Salesforce and data extraction methods
Prior experience working with data encryption, SFTP automation, or ad-hoc data
requests

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Keyskills:   Airflow Etl Pipelines GCP Bigquery Python SFTP ETL SQL