Posted:3 days ago|
Platform:
On-site
Part Time
Role Proficiency:
Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities
Outcomes:
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Outputs Expected:
Code:
Documentation:
Configure:
Test:
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Manage knowledge:
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Job Description We are seeking a detail-oriented Data Developer to support reporting, validation, and reconciliation of ETL data across multiple systems. This role requires strong analytical skills, solid SQL/BigQuery expertise, and the ability to ensure accuracy and consistency of business-critical data. You will work closely with data engineering and business teams to troubleshoot mismatches, design validation checks, and provide reliable reporting for decision-making. Required Skills & Qualifications Hands-on experience with Google BigQuery for large-scale data processing Strong proficiency in SQL, including query optimization techniques Intermediate-level Python programming skills for scripting, automation, and data manipulation Familiarity with shell scripting (a plus) Proven experience with ETL frameworks and building scalable data pipelines Working knowledge of Apache Airflow for workflow orchestration Practical experience using GitHub for version control and team collaboration Strong analytical and problem-solving abilities Excellent communication and teamwork skills Nice to Have Experience with other cloud platforms such as AWS, Azure, or additional GCP services Exposure to CI/CD pipelines and DevOps practices Familiarity with data warehousing concepts and industry best practices
Google Bigquery,Sql,Etl,Analytical
UST Global
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