Data Engineer (WFH | DAYSHIFT) - Manila

apartmentSatellite Office placeManila scheduleFull-time calendar_month 

DATA ENGINEER

Work for our global clients and immerse in our rich and diverse company culture where you can thrive, grow and just be aweSOme! Apply now and discover the Satellite Office Candidate Experience – recognized as one of BEST among BPO companies worldwide.

WHAT IS A DATA ENGINEER?

Our awesome client, a leading company based in AU is looking for Data Engineer professionals to be part of their team. We are looking for Data Engineer professionals who can help us take our company to a new level!

The clients looking for a highly skilled Data Engineer to take on a Tech Lead role with strong DBA capabilities. The ideal candidate will be responsible for leading data operations, optimizing data workflows, and managing database environments.

They will play a key role in overseeing the operational side of data stores, driving SQL development best practices, and supporting our cloud migration initiatives.

Responsibilities:

  • Lead the design, development, and maintenance of robust data pipelines and workflows.
  • Write and optimize complex SQL queries, stored procedures, and views for performance and scalability.
  • Oversee and manage the operational aspects of data stores.
  • Drive data optimization, performance tuning, and integrity checks.
  • Manage cloud-based SQL Server (Azure Managed Instance) environments.
  • Lead the migration of data and systems from SQL Server to Snowflake.
  • Work with Datalake environments and support data ingestion and transformation processes.
  • Collaborate with cross-functional teams including data analysts, developers, and business stakeholders.
  • Provide technical leadership, code reviews, and mentorship to junior team members.

Skills and Qualifications:

  • Strong SQL expertise including stored procedures, views, and performance tuning.
  • Experience in Azure Cloud, particularly with SQL Server Managed Instances.
  • Hands-on experience with Snowflake and cloud-based data migration.
  • Familiarity with Datalake architectures and concepts.
  • Experience with SSIS and/or Crystal Reports is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and leadership skills.
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