Data Engineer - Emory, United States - APBA TG HUMAN RESOURCE PTE. LTD.

Description

Data Engineer | $6000 | 1 Year Contract (Renewable) | East

We are looking for a Data Engineer to put together data from a variety of sources to enable large-scale processing and analysis of complex data.

You are an experienced data wrangler who will be responsible for the design of the data model, undertaking of ETL work and design and maintenance of the databases.

Responsibilities

Build and maintain scalable data pipelines and infrastructure for ingesting, processing, and storing data from various sources.

Create and manage ETL processes to transform raw data into structured formats that can be analyzed by data analysts and scientists.

Develop and maintain data warehouse architecture and design, including data modelling, schema design, and performance tuning.

Work with cross-functional teams to ensure data accuracy, consistency, and quality across different systems and data sources.

Monitor and troubleshoot data pipeline and ETL job failures and optimize performance and reliability.

Develop and maintain documentation of data pipelines, ETL processes, and data warehouse architecture.

Assemble large, complex data sets to empower exploratory and operational analytics.

Identify, design and implement internal process improvements to optimize data delivery and greater scalability.

Build analytics tools that utilize the data pipelines to provide actionable insights into key business performance metrics.

Work closely with business stakeholders to assist with data-related technical issues and support their data infrastructure needs.

Recommend ways to improve data reliability, efficiency and quality.

Interpret data, analyze results using statistical techniques and provide ongoing reports by using data visualization tools.

Identify, analyse, and interpret trends, patterns, and insights in complex data sets.

Requirements

Degree in Computer Science, Computer Engineering, Information Systems or other quantitative/computational discipline.

Experience in architecting or developing an enterprise data lake or data warehouse solution on cloud services.

Strong experience and track record in building data pipelines and databases.

Experience in design and implementation of ETL solutions.

Solid software development skills in at least one major language (e.g. Java) and scripting languages (e.g. Python).

Experience with advanced schema design and data modelling techniques such as normalization, SCD and star schemas.

Proficient in writing advanced and optimized SQL queries.

Strong project management and organizational skills supporting and working with cross functional teams in a dynamic environment.

Motivated and driven, able to work independently and a good team player as part of a multidisciplinary team.

Interested candidates, please send your CVs on [ Email address blocked ]. Regret to inform that only shortlisted candidates will be notified.


CEI:
R | EA License: 14C7275

#J-18808-Ljbffr