Engineer Data

Position Title: Engineer Data

Function: Tech
Job Description:

Roles & responsibilities:

• Design and develop data pipelines and solutions for reporting and analytics with moderate guidance.
• Contribute to building and maintaining ETL processes and data workflows, ensuring scalability and efficiency.
• Diagnose and fix issues in data systems; participate in troubleshooting and root cause analysis.
• Monitor the performance of databases and data pipelines, suggesting basic optimizations.
• Ensure data quality by performing validation, cleansing, and consistency checks.
• Support patching and updates to keep applications and data platforms secure and up to date.
• Participate in integrating new platforms or tools into existing environments and maintain accurate documentation.
• Collaborate with cross-functional teams using Agile practices (sprints, standups, retrospectives).
• Provide technical guidance to junior team members on basic tasks and share knowledge within the team.

Experience Required:

• 1+ years of experience in data engineering or related fields.
• Good understanding of data structures, databases, and programming fundamentals.
• Hands-on experience with at least one programming/scripting language (Python, Java, or Scala).
• Practical experience working with SQL/PL-SQL and relational databases (e.g., MySQL, PostgreSQL, or SQL Server).
• Exposure to data modeling, ETL concepts, and data warehousing solutions (e.g., BigQuery, Snowflake, Data Lake).
• Familiarity with cloud platforms such as GCP or Azure for running and supporting data workloads.
• Experience using version control tools (e.g., Git) in a team environment.
• Ability to manage tasks independently, while also contributing as part of a team.

Competencies :

• Demonstrates kindness, respect, and genuine interest in supporting colleagues and stakeholders.
• Maintains the highest standards of personal and professional ethics, acting with honesty and transparency.
• Embraces an inclusive mindset, encourages the expression of diverse ideas and opinions, and seeks input from others.
• Contributes positively to team morale, supports others, and fosters a collaborative work environment.
• Actively seeks feedback, pursues growth opportunities, and strives for excellence through continual skill development.

Skills Required:

• Cloud Platforms: Hands-on experience with major cloud platforms such as Google Cloud Platform (GCP)
• Cloud-Based Big Data Systems: Proficiency in working with cloud-native data warehouses and analytics platforms like BigQuery , Snowflake
• ETL Frameworks: Experience with modern ETL tools and frameworks including Google Cloud Dataflow/Azure Data Factory (ADF)/Informatica
• Data Processing: Strong skills in SQL and Python for data extraction, transformation, and analysis.
• Kafka