Senior Data Engineer at TTEC

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Python, SQL, Data Engineering, Data Warehousing, ETL, Cloud Computing, Data Modeling, Cloud Composer, Data Pipelines, Technical Support

Industry

Outsourcing and Offshoring Consulting

Description

Your potential has a place here with TTEC’s award-winning employment experience. As a Senior Data Engineer working hybrid in Hyderabad, India, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in India says it all! What You’ll Do – We are looking for an experienced GCP Data Engineer to join our team in Hyderabad. The successful candidate will be responsible for designing, developing, and maintaining data pipelines and architectures on the Google Cloud Platform (GCP). The ideal candidate should have a strong background in data engineering, data warehousing, and cloud computing. You'll report to Senior Manager During a Typical Day, You’ll · Design and develop data pipelines on GCP using technologies such as BigQuery, Cloud Storage, Cloud Composer, Dataflow, Pub/Sub, and other GCP services. · Design and develop data architectures on GCP for data ingestion, transformation, storage, and analysis. · Develop ETL processes to move data from on-premise/cloud source systems to GCP. · Proficient in Python and SQL · Monitor and optimize data pipelines for performance and cost. · Develop and maintain data models for analytics and reporting. · Develop and maintain data security policies and procedures. · Troubleshoot data issues and provide technical support to other teams. What You Bring to the Role BE in Computer Science or Information Systems or equivalent • 5-8 years of experience in Oracle EBS Modules: CoreHR , Payroll, Benefits. • Excellent working knowledge in Absence, Fast formulas • Strong domain knowledge with attention to detail. • Strong advanced analytical and problem-solving skills What You Can Expect Bachelor’s degree in Computer Science, Information Technology, or a related field. • 5+ years of experience in data engineering and cloud computing. • Proficiency in GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc. • Experience with scripting languages such as Python and SQL. • Knowledge of data warehousing and ETL processes. • Ability to work independently and as part of a team. • Excellent problem-solving and communication skills. About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. #LI-Hybrid

Responsibilities

The Senior Data Engineer will design, develop, and maintain data pipelines and architectures on the Google Cloud Platform. They will also be responsible for developing ETL processes, monitoring performance, and providing technical support to other teams.