Data Engineer: Build Scalable Data Pipelines

AlleyCorp

Şile, Fatih

On-site

TRY 400,000 - 680,000

Full time

14 days+

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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.