Data Engineer

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

SALARY

500.00

HOURS PER WEEK

40

DATE UPDATED

Apr 2, 2026

JOB OVERVIEW

Data Engineer Job Description Overview:

We are seeking a highly skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions. Responsibilities Data Pipeline Development

Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.

Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.

Implement data validation and quality checks to ensure accuracy and consistency.

Data Modeling and Architecture

Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
Optimize data storage and retrieval mechanisms for performance and scalability.
Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.

Data Integration and API Development

Build and maintain integrations with internal and external data sources and APIs.
Implement RESTful APIs and web services for data access and consumption.
Ensure compatibility and interoperability between different systems and platforms.

Data Infrastructure Management

Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks.
Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.
Implement data security controls and access management policies to protect sensitive information.

Collaboration and Documentation

Collaborate with analysts, and other stakeholders to understand data requirements and deliver tailored solutions.
Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
Provide technical guidance and support to tea ---------- mbers and stakeholders as needed.

Requirements:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.

Proven experience in data engineering, software development, or related roles.

Proficiency in programming languages commonly used in data engineering (e.g., Python, Java, Scala, etc.).

Strong knowledge of database systems, data modeling techniques, and SQL proficiency.

Proficiency with ETL tools commonly used in data engineering (e.g., SSIS, Databricks, Azure Data Factory).

Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).

Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).

Excellent problem-solving skills and attention to detail.

Effective communication and collaboration skills in a team-oriented environment.

Ability to adapt to evolving technologies and business requirements.

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0010
Controller Execution Time ( Jobseekers / Job )  0.0170
Total Execution Time  0.0207
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,505,600 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Data-Engineer-1589059
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0101 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1589059
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 425627
 LIMIT 1 
0.0012   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1589059
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-18',ej.date_added) duration_daysDATEDIFF('2026-04-18',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-04-18',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1589059' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1589059 
0.0015   UPDATE employer_jobs SET hit_counts '***Feb-26-2026=52***Feb-27-2026=36***Feb-28-2026=10***Mar-01-2026=19***Mar-02-2026=11***Mar-03-2026=8***Mar-04-2026=12***Mar-05-2026=5***Mar-06-2026=10***Mar-07-2026=8***Mar-08-2026=6***Mar-09-2026=7***Mar-10-2026=106***Mar-11-2026=54***Mar-12-2026=32***Mar-13-2026=14***Mar-14-2026=10***Mar-15-2026=8***Mar-16-2026=10***Mar-17-2026=9***Mar-18-2026=3***Mar-19-2026=8***Mar-20-2026=3***Mar-21-2026=5***Mar-22-2026=6***Mar-23-2026=13***Mar-24-2026=6***Mar-25-2026=10***Mar-26-2026=10***Mar-27-2026=6***Mar-28-2026=3***Mar-29-2026=6***Mar-30-2026=37***Mar-31-2026=40***Apr-01-2026=28***Apr-02-2026=108***Apr-03-2026=59***Apr-04-2026=40***Apr-05-2026=21***Apr-06-2026=43***Apr-07-2026=36***Apr-08-2026=25***Apr-09-2026=21***Apr-10-2026=10***Apr-11-2026=2***Apr-18-2026=1' WHERE job_id'1589059'  
0.0007   UPDATE employer_jobs SET monthly_hits '***Feb-2026=98***Mar-2026=485***Apr-2026=394' WHERE job_id'1589059'  
0.0009   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1589059' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1589059 
0.0022   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '425627'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0012   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)