Posted:3 days ago|
Platform:
Work from Office
Full Time
Position Description:
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analysing large volumes of data efficiently and accurately
Key Responsibilities:
1) Collaborate with business and technology stakeholders to understand current and future data requirements
2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lake house etc. for structured and unstructured data
5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
6) Ensure optimum performance and identify improvement opportunities
Skills Required:
Big Query,, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton, Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API
Experience Required:
Engineer 2 Exp: 4+ years Data Engineering work experience
Experience Preferred:
Big query, GCP, Airflow, Tekton, Terraform, SQL
Education Required:
Bachelor's Degree
Additional Information :
Data Engineer who knows Airflow, Tekton, Terraform and end-to-end pipeline building knowledge
Megan Soft
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
bengaluru
7.0 - 9.0 Lacs P.A.
7.0 - 12.0 Lacs P.A.
bengaluru
10.0 - 11.0 Lacs P.A.
hyderabad, pune, bengaluru
5.0 - 15.0 Lacs P.A.
pune
10.0 - 15.0 Lacs P.A.
15.0 - 25.0 Lacs P.A.
hyderabad
4.0 - 8.0 Lacs P.A.
navi mumbai
4.0 - 8.0 Lacs P.A.
hyderabad
4.0 - 8.0 Lacs P.A.
chennai
4.0 - 8.0 Lacs P.A.