Overview
Full Time
Skills
Attention To Detail
Analytics
Data Science
Conflict Resolution
Problem Solving
Leadership
Snow Flake Schema
Amazon Redshift
Databricks
Storage
Data Quality
Streaming
Real-time
Database
Scalability
Data Engineering
Data Processing
Programming Languages
Python
SQL
Extract
Transform
Load
ELT
Workflow
Apache Airflow
Big Data
Apache Spark
Apache Hadoop
Apache Kafka
Version Control
Git
Continuous Integration
Continuous Delivery
Fluency
English
Health Insurance
Insurance
Life Insurance
Training And Development
Training
Coaching
LinkedIn
Job Details
We are seeking a highly skilled and detail-oriented Senior Data Engineer to join our growing team in Birkirkara.
In this role, you will be a key contributor to build and optimize our data infrastructure, pipelines and analytics systems. You will be responsible for designing, building and maintaining highly scalable and secure ETL/ELT data pipelines to support the needs of analytics, data science and business teams. The ideal candidate has strong technical expertise, problem-solving skills and leadership capabilities to support the development of a scalable and robust data engineering ecosystem.
This role offers a hybrid work setup, providing flexibility to work both remotely and in-office, helping you achieve a balanced professional and personal life.
RESPONSIBILITIES
REQUIREMENTS
WE OFFER
In this role, you will be a key contributor to build and optimize our data infrastructure, pipelines and analytics systems. You will be responsible for designing, building and maintaining highly scalable and secure ETL/ELT data pipelines to support the needs of analytics, data science and business teams. The ideal candidate has strong technical expertise, problem-solving skills and leadership capabilities to support the development of a scalable and robust data engineering ecosystem.
This role offers a hybrid work setup, providing flexibility to work both remotely and in-office, helping you achieve a balanced professional and personal life.
RESPONSIBILITIES
- Architect and maintain modern data platforms, warehouses and lakes (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Optimize the storage and retrieval of data and ensure performance and cost efficiency
- Establish processes and systems for monitoring data quality, completeness and reliability
- Automate manual processes and optimize data delivery workflows to reduce latency and improve job reliability
- Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems
- Integration to third party databases and APIs
- Continuously refine and improve existing data systems and pipelines for scalability
- Implement monitoring and alerting systems for data pipelines
- Ensure data infrastructure uptime and availability
REQUIREMENTS
- Minimum 5-8+ years of experience in data engineering or related roles, including experience with large-scale data processing
- Proficiency in programming languages like Python, SQL
- Expertise in building and maintaining ETL/ELT workflows using tools like Apache Airflow
- Hands-on experience with Big Data technologies like Spark, Hadoop and Kafka
- Working experience with version control systems (Git) and CI/CD pipelines
- Fluency in English
WE OFFER
- Private health insurance (including dental insurance)
- EPAM Group life assurance
- Wellness allowance
- Employee assistance program
- Corporate Programs including Employee Referral Program with rewards
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
- *All benefits and perks are subject to certain eligibility requirements
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.