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Engineer - Data Engineering & Analytics at Millennium IT ESP

Colombo, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Engineering, Data Analytics, Data Pipelines, Data Warehousing, Data Lakes, Data Modeling, ETL, Python, Scala, Hadoop, Big Data, Cloud Technologies, Relational Databases, Problem-solving, Analytical Skills

Industry

IT Services and IT Consulting

Description

Job Description Collaborate with cross-functional teams to understand business requirements and design data solutions accordingly Develop and maintain data pipelines, data warehouses, and data lakes Implement data quality checks and ensure data accuracy and consistency Perform data analysis and identify trends and patterns to support business decision-making Troubleshoot and resolve any issues related to data pipelines or data quality Stay updated with industry trends and best practices in data engineering and analytics Communicate effectively with team members and stakeholders to provide updates on project progress and escalate any issues or concerns Person Specification Bachelor's degree in Computer Science, Information Systems, or a related field 02+ years of experience in data engineering, data analytics, or a related role Strong proficiency in SQL, ON-prem /cloud technologies and experience with relational databases Experience with data modeling, data warehousing, lakehouses and ETL processes Knowledge about programming languages such as Hadoop, Big data technologies, python or Scala is a plus Excellent problem-solving and analytical skills Strong communication and interpersonal skills

Responsibilities

The role involves designing and maintaining data pipelines, warehouses, and lakes while collaborating with cross-functional teams to meet business requirements. Additionally, the engineer will perform data analysis, ensure data quality, and troubleshoot issues to support informed decision-making.