Data Engineer

AlleyCorp; Şile, Fatih; On-site; TRY 400,000 - 680,000; Full time

Job summary

Marti is seeking a data engineer to collect data sources, design scalable pipelines, and ensure data accuracy for its mobility platforms. You will work with analysts and scientists to translate raw data into actionable metrics and help establish new data patterns across products.

The role requires a strong background in cloud-based data architectures, Python, SQL/NoSQL, and experience with tools like Airflow, Spark, Flink and Kafka. Knowledge of AWS/BigQuery/Snowflake will be a plus.

Qualifications

• Bachelor's degree in a technical field such as Engineering, CS, MIS or other quantitative field.
• 3+ years of experience in data engineering.
• Knowledge of modern, cloud-based data pipeline best practices.
• Experience with large-scale data warehousing, data lake implementation and data modeling.
• Strong knowledge in Python (Scala/Java would be a plus).
• Experience with SQL databases and NoSQL databases.
• Experience with open source data technologies such as Flink, Spark and Kafka.
• Experience using cloud-based data warehouses, particularly Redshift or BigQuery or Snowflake.
• Experience with orchestration frameworks such as Apache Airflow, Argo Workflow.

Responsibilities

• Collect data from various systems and convert it into the source of truth for Marti applications.
• Build and design scalable and reliable data pipelines and distributed systems for various Marti products.
• Establish new patterns and frameworks for quickly aggregating millions of raw data records into actionable metrics.
• Ensure that acquisition and processing of data is working.
• Work closely with our analysts and our scientists to ensure data needs are met.
• Identify, document and promote best practices.

Skills

Python

SQL

NoSQL

Data Warehousing

Data Modeling

Cloud Data Pipelines

Scalable ETL

Education

Bachelor's degree in a technical field

Tools

Flink

Spark

Kafka

Airflow

Argo

Docker

Kubernetes

Redshift

BigQuery

Snowflake

Job description

Founded in 2018, Marti is Türkiye’s leading mobility app, offering multiple transportation services to its riders. Marti operates a ride-hailing service that matches riders with car, motorcycle, and taxi drivers, and operates a large fleet of rental e-mopeds, e-bikes, and e-scooters. All of Marti’s offerings are serviced by proprietary software systems and IoT infrastructure.

Marti's vision is that everything on wheels will be electric and everything electric will be shareable. Since 2019, we have experienced significant growth and maintained robust unit economics year-round. Our goal is to expand our urban transportation services, introduce new environmentally sustainable and shared mobility options, and leverage our existing scale and customer base to offer technology-enabled services beyond transportation. By pursuing sustainable growth, we strive to positively impact the communities we serve and make a meaningful impact on the future of mobility.

Marti invites applications from dynamic, innovative and highly motivated candidates for the following position;

Requirements

• Bachelor’s degree in a technical field (e.g. Engineering, Computer Science, MIS or other quantitative fields),
• 3+ years of experience in data engineering,
• Knowledge of modern, cloud-based data pipeline best practices,
• Experience with large-scale data warehousing architecture, data lake implementation and data modeling,
• Strong knowledge in Python (Scala/Java would be plus),
• Experience with SQL databases and NoSQL databases,
• Experience with open source data technologies such as Flink, Spark and Kafka,
• Experience using cloud-based data warehouses, particularly Redshift or BigQuery or Snowflake,
• Experience with orchestration frameworks such as Apache Airflow, Argo Workflow.

Nice to have

• Experience with AWS and related services like Athena, S3, Glue, Lambda, and more,
• Experience with data lake table formats such as Hudi, Iceberg, Delta Lake,
• Familiarity with DevOps practices like CI/CD pipelines,
• Familiarity with containerization such as Docker and Kubernetes.

Responsibilities

• Collect data from various systems and convert it into the source of truth for Marti applications,
• Build and design scalable and reliable data pipelines and distributed systems for various Marti products,
• Establish new patterns and frameworks for quickly aggregating millions of raw data records into actionable metrics,
• Ensure that acquisition and processing of data is working,
• Working closely with our analysts and our scientists to ensure data needs are met,
• Identify, document and promote best practices.