Data Pipeline Analyst (Data Engineering)

TL;DR

Data Pipeline Analyst (Data Engineering): Managing and migrating ETL pipelines between various source systems with an accent on data quality validation and operational support in Snowflake. Focus on resolving data discrepancies, collaborating with business stakeholders, and supporting data migration activities across platforms.

Location: Hybrid (Budapest, Hungary). Required to work adjusted hours aligned with the New York time zone once every two weeks.

Company

hirify.global is a Budapest-based firm specializing in Business Intelligence, Data Warehousing, and Application Development for the financial, telecommunication, and energy sectors.

What you will do

• Manage and migrate ETL pipelines between various source systems.
• Validate pipeline build success and ensure high output data quality.
• Communicate with business stakeholders and SMEs regarding their data domains.
• Analyze and resolve blockers, issues, and data discrepancies within ETL pipelines.
• Support data migration activities across various systems and platforms.
• Provide operational support within the Snowflake environment.

Requirements

• Strong knowledge of SQL.
• Advanced Excel skills.
• Good communication skills in English, both written and spoken.
• Strong analytical and problem-solving skills.
• Proactive mindset with a focus on continuous improvement.
• Ability to manage multiple priorities and switch effectively between tasks.

Nice to have

• Experience with Python, Snowflake, or Dataiku.
• Experience working within a multinational company.

Culture & Benefits

• Exposure to diverse projects across various technical and business domains.
• Culture of trust and empowerment with the freedom to push professional limits.
• Flexible working model with a community-centric office space in Budapest.
• Strong emphasis on work-life balance and avoidance of unnecessary administration.
• Continuous mentoring and support provided from the first day of employment.
• Dedicated learning and development opportunities to unlock professional potential.