Assistant Manager - Microsoft Data & AI (Powered Data) | Hybrid - Makati at Tasq Staffing Solutions, Inc.

Makati, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Migration, ETL Pipelines, SQL, Data Architecture, Data Modeling, Data Profiling, Data Cleansing, CloverDX, Informatica, Talend, SSIS, Alteryx, Azure, AWS, GCP, Data Governance

Industry

Staffing and Recruiting

Description

Roles & responsibilities Design, develop, and maintain scalable, high‑performance data solutions, including ETL pipelines, data migration frameworks, and analytics‑ready datasets. Lead and drive client discussions to understand data migration, integration, and analytics requirements, and provide strong domain and technical guidance. Proven 6+ years of experience in designing and implementing data migration and ETL solutions, adhering to data architecture best practices, standards, and governance guidelines Support and foster a culture of collaboration, innovation, and continuous improvement, aligning data engineering practices with industry standards. Maintain deep technical and business knowledge of data engineering trends, including ETL frameworks, database platforms, cloud data services, and agile delivery models. Work independently with minimal supervision, take ownership of end‑to‑end deliverables, and make informed technical decisions. Ensure efficient data processing, performance optimization, data quality, and reliability, while complying with security, governance, and regulatory requirements. Educational qualifications A bachelor’s or master’s degree in Engineering, Computer Science, or equivalent Certification in ETL tools or SAP data migration frameworks. Work experience Proven 6+ years of experience in designing and implementing data migration and data engineering solutions, following established data architecture best practices, standards, and governance frameworks. Collaborate with cross‑functional teams (business, functional, and technical stakeholders) to gather data requirements, define source‑to‑target mappings, and finalize ETL and migration specifications. Mandatory technical & functional skills Strong experience in data migration and data engineering, including end‑to‑end data movement across multiple source and target systems. Hands‑on expertise with ETL / data integration tools such as CloverDX, Informatica, Talend, SSIS, Alteryx, or equivalent platforms. Advanced SQL proficiency, including complex joins, aggregations, validations, and reconciliation queries for large datasets. Solid understanding of data architecture concepts, source‑to‑target mappings, transformation logic, and data modeling. Proven experience in data profiling, cleansing, transformation, and data quality validation to ensure accuracy, consistency, and completeness. Strong documentation skills, including preparation and maintenance of mapping documents, ETL specifications, and validation reports. Familiarity with relational databases and file‑based data formats (CSV, flat files, XML, JSON). Ability to collaborate effectively with cross‑functional teams (business, functional, and technical stakeholders) and communicate data‑related issues clearly. Preferred technical & functional skills Strong understanding of data warehousing and analytics concepts, including reporting‑ready data models. Experience with cloud‑based data platforms (Azure, AWS, or GCP) and exposure to cloud storage or data services used in migration projects. Awareness of data governance, metadata management, and security considerations during data migration. Strong analytical, communication, and stakeholder‑handling skills, with the ability to articulate data issues and solutions clearly.

Responsibilities

Design, develop, and maintain scalable data solutions and ETL pipelines while leading client discussions to define migration and analytics requirements. Ensure data quality, performance optimization, and compliance with security and governance standards.