Data Engineering Tech SME

Tata Consultancy Services Limited; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Tata Consultancy Services Limited is seeking a seasoned data engineering and analytics professional to drive data delivery, governance and migration initiatives within the banking/financial services space. The role requires hands-on GCP experience, BigQuery expertise, and strong pipeline orchestration using Airflow/GCP tools.

You will contribute to data quality, lineage, ingestion, scheduling and monitoring while collaborating with cross-functional teams to deliver reliable data products and

Qualifications

• 6-12+ years of data/tech delivery experience, preferably in banking.
• Hands-on GCP data platform delivery with BigQuery-driven validation.
• Strong knowledge of GCS, lake concepts, ETL/ELT, batch ingestion, scheduling and monitoring.
• Experience supporting backlog activities: user stories, acceptance criteria, backlog refinement, release planning and dependency tracking.

Responsibilities

• Drive backlog execution, refine user stories, define acceptance criteria and plan releases.
• Coordinate dependencies and ensure timely data delivery and data quality across platforms.

Skills

Data delivery

Platform integration

Data governance

BigQuery

Tools

BigQuery

GCS

Airflow/Cloud Composer

ETL/ELT

Dataflow/Dataproc

JIRA/Azure DevOps/Confluence

Job description

Data Engineering, Data Analytics, Data Delivery, Data Governance, Data Migration, Data Quality, Data Lineage, Data Catalogue, SQL, BigQuery, Google Cloud Storage (GCS), Google Cloud Platform (GCP), ETL/ELT, Batch Ingestion, Data Pipelines, Cloud Composer / Airflow, Dataflow or Dataproc, Data Reconciliation, SIT/UAT, Cutover Planning, JIRA / Azure DevOps / Confluence, Power BI / Tableau / Looker

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• 6-12+ years of experience in data, technology delivery, platform integration, governance or migration initiatives, preferably within banking or financial services.
• Hands-on delivery exposure to GCP data platforms, with strong BigQuery experience for SQL-based validation, reconciliation and data investigation.
• Strong working knowledge of Google Cloud Storage (GCS), lake/storage concepts, file-based feeds, ETL/ELT, batch ingestion, transformation, scheduling and monitoring.
• Experience supporting backlog execution, user stories, acceptance criteria, backlog refinement, release planning and dependency tracking.