Senior Data Engineer - CL10

Gratitude Inc

12 Views

13 hours ago

Senior Data Engineer - CL10

2-14 Year(s)

Job Description

Key Skills

MS SQL Server MySQL Python ETL Tools hadoop ETL ETL tester Analytical Skills CI/CD GCP Google Cloud Platform CI Tool CI/CD tools Strategic & Analytical Skills ETL/ELT CI/CD pipelines Google Cloud Platform (GCP) SQL or Python SAP Master Data Governance ability to perform activities like data discovery, data analysis, data lineage, data governance GCP Cloud Architect

0 candidate(s) have already applied for this Job. Apply now

JOB TITLE: Senior Data Engineer - CL10

WORK SET UP: Onsite in Manila / Taguig

WORK SHIFT: Shifting

SALARY BUDGET: Confidential

Note: Salary is confidential and for sourcing purposes only. Final salary offer will depend on client and project assignment once selected.

Role Summary:

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Position Overview:

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize our next-generation data platform on Google Cloud Platform (GCP). In this role, you will be the backbone of our data architecture, responsible for developing robust batch and streaming data pipelines, handling complex file ingestions, and ensuring the absolute reliability of our data ecosystem. If you are a problem-solver who thrives on optimizing complex SQL queries, orchestrating intricate workflows, and troubleshooting high-throughput data streams, we want you on our team.

Required Qualifications and Skills:

- Minimum 2 year(s) of relevant experience is required

- GCP Ecosystem: Strong, hands-on experience with Dataflow, Cloud Composer, and BigQuery. Working knowledge of Cloud Spanner is highly desirable.

- Data Streaming: Proven experience handling both batch and real-time or streaming data processing paradigms (e.g., Pub/Sub to Dataflow).

- Languages: Mastery of SQL (analytical and transactional) and proficiency in Python or Java (for Apache Beam or Airflow).

- Operations: Strong experience in monitoring, logging, and alerting (e.g., GCP Cloud Monitoring or Cloud Logging) and standard debugging practices.

- Data Engineering Fundamentals: Solid understanding of data modeling, ETL or ELT processes, and handling various file formats (Avro, Parquet, JSON, CSV).

Nice-to-Have Qualifications:

- Google Cloud Certified Professional Data Engineer.

- Experience with CI or CD pipelines for data infrastructure (Terraform, GitHub Actions).

- Familiarity with data governance and security best practices on GCP (IAM, KMS, DLP).

Role

Customer Service Executive -Technical

Timings

Rotational Shifts (Permanent)

Industry

BPO

Work Mode

Work from office

Process

Semi-Voice

Functional Area

ITES / BPO / Customer Service

Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.

Norman Bogonko

Recruiter - Gratitude Inc

NA, kenya

3+ Followers

500+ Posts

View Profile

Interview Tips

Giving the VNA round?
What are the most important skills you acquired as a Soft Skills/VNA trainer?
How would you handle an irate customer?

Get the Best Jobs
on your Fingertips

Confidential

Manila, Philippines

Details