United Arab Emirates Job Openings

Deriv

Senior Data Engineer

Dubai

FULL TIME

October 28, 2024

Job Information

Job Opening ID

ZR_1090_JOB

Date Opened

29/10/2024

Industry

Business Intelligence

Job Type

Full time

City

Dubai

Country

United Arab Emirates

Job Description

At Deriv, we are looking for a detail-oriented Senior Data Engineer with the capability to define the data pipeline of our future data models. You will leverage technologies such as Google Cloud Platform, Airflow, Python, Docker, and Postgre SQL to help provide the company with dependable business intelligence solutions. As part of this role, you will develop, test, and maintain architectures for data processing and build Extract, Transform, and Load (ETL) pipelines. You will be a key contributor to making our data warehouse trustworthy by ensuring data accuracy.

Your challenges

Ensure data integrity while extracting data from in-house and third-party complex sources and manage its systematic storage. Responsible for data security, accuracy, and accessibility.

Provide tangible business solutions and decisions using your expertise in the data engineering domain.

Design and build high-performance, secure, and scalable company data warehouse and pipeline to support data science projects following best practices.

Debug and resolve complex issues, and recommend improvements to ensure a well-functioning ETL pipelined architecture.

Transform raw data into easy-to-use tables for the Data Analysts.

Keep up-to-date on company products and new releases to efficiently plan changes in our data warehouse or pipelines.

Our team

We are the Business Intelligence team. We lead the organisation in cultivating a data-driven culture as our company moves toward the future. We collect meaningful data and analytics for us to deeply understand our consumers and build more valuable products and services. What we do is incredibly important in driving smart marketing decisions, optimising our business, and increasing profitability.

Requirements

A minimum of 5 years of experience in the data engineering field

Expertise in data modelling techniques such as Kimball star schema, Anchor modelling, and Data vault

Competence in object-oriented or object function scripting languages such as Python

Proficiency in relational SQL and No SQL databases, preferably with Postgre SQL, PITR, Pg_basebackup, WAL archival, and Replication

Familiarity with column-oriented storage or data warehouses such as parquet, Redshift, and Bigquery

In-depth skills in developing and maintaining ETL/ELT data pipelines and workflow management tools such as Airflow

Hands-on experience with Google Cloud Platform (GCP) services such as Big Query, scheduled queries, Cloud Storage and Cloud Functions

Familiar with alerting and self-recovery methods concerning data accuracy

Analytical skills with the ability to transform data into optimal business decisions

Expertise in peer reviewing pipeline codes and suggesting improvements when required

Experience in helping teams make informed business decisions with data

Strong communication and presentation skills

Fluency in spoken and written English

What’s good to have

A good background in cybersecurity and data protection

Proficiency in using data pipeline and workflow management tools such as Luigi

Exposure to maintaining and monitoring database health and resolving errors

Experience in managing stakeholders’ expectations and technical requirement gathering

Familiarity with container technologies such as Docker

A fintech background

Benefits

Market-based salary

Annual performance bonus

Medical insurance

Housing and transportation allowance

Casual dress code

Work permit

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