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Data Engineer

extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Pakistan

Offer summary

Qualifications:

Bachelor's degree in data engineering, big data analytics, computer engineering, or related field., 5 years experience as a data engineer or in a similar role. Proficiency in Python, C++, Java, R, and SQL. Familiarity with Hadoop or equivalent technologies..

Key responsabilities:

Develop and maintain data pipeline architecture aligning with business requirements.
Implement process enhancements, automation, data delivery optimization, infrastructure redesign, and scalable developments.
Design analytics tools for customer acquisition, operational efficiency, and business performance metrics. Collaborate with stakeholders to address technical challenges.
Ensure data security across national boundaries, develop data tools, collaborate with experts, and communicate with clients.
Create infrastructure for big data analysis, refine frameworks, test structures, prepare raw data for manipulation, detect errors, and stay updated on industry standards.

Creative Chaos SME https://www.creativechaos.co/

201 - 500 Employees

See more Creative Chaos offers

Job description

Develop and maintain efficient data pipeline architecture.
Construct intricate data sets that align with functional and non-functional business requirements.
Identify, plan, and implement internal process enhancements, such as automation of manual processes, data delivery optimization, and infrastructure redesign for improved scalability.
Establish the necessary infrastructure for efficient data extraction, transformation, and loading from diverse data sources using SQL and AWS 'big data' technologies.
Design analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other crucial business performance metrics.
Collaborate with stakeholders including Executives, Product Managers, Data and Design teams to address data-related technical challenges and fulfill data infrastructure needs.
Maintain data security and separation across national boundaries, encompassing multiple data centers and AWS regions.
Develop data tools for the analytics and data science teams, assisting them in optimizing our product's position as an innovative industry leader.
Collaborate with data and analytics experts to enhance functionality within our data systems.
Communicate with clients to elucidate task requirements.
Conceptualize and create infrastructure to facilitate access and analysis of big data.
Refine existing frameworks to enhance their functionality.
Test and validate structures to ensure their suitability.
Prepare raw data for manipulation by data scientists.
Detect and rectify errors in work.
Ensure that work remains backed up and accessible.
Stay current with industry standards and technological advancements that enhance the quality of outputs.

Requirements

Bachelor's degree in data engineering, big data analytics, computer engineering, or a related field.
5 years of proven experience as a data engineer, software developer, or in a similar role.
Proficiency in Python, C++, Java, R, and SQL.
Familiarity with Hadoop or equivalent technologies.
Strong analytical and problem-solving skills.
Ability to work independently and collaboratively.
Detail-oriented and conscientious approach to tasks.
Capacity to manage a pipeline of responsibilities with minimal supervision.