Lead Data Engineer designing and managing AWS data pipelines and platforms for AI & Data Engineering team. Involves collaborating with data scientists, analysts, and stakeholders for data - driven solutions.
About the role
- Senior Data Engineer working on GCP cloud data solutions and ETL processes in AI & Data Engineering team. Collaborating within a hybrid work setup in Bangalore, India.
Responsibilities
- Work on data pipeline construction and management
- Collaborate with AI & data engineering teams
- Perform ETL processes and data transformations
- Design and optimize data models and architecture
- Ensure data quality and integrity in solutions
Requirements
- 4+ years of experience in the data engineering field is preferred
- 3+ years of Hands-on experience in GCP cloud data implementation suite such as Big Query, Pub Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage
- Strong experience and understanding of very large-scale data architecture, solutioning, and operationalization of data warehouses, data lakes, and analytics platforms.
- Hands on Strong Experience in the below technology o 1. GBQ Query o 2. Python o 3. Apache Airflow o 4. SQL (BigQuery preferred)
- Extensive hands-on experience working with data using SQL and Python
- Cloud Functions. Comparable skills in AWS and other cloud Big Data Engineering space is considered.
- Experience with agile development methodologies
- Excellent verbal and written communications skills with the ability to clearly present ideas, concepts, and solutions
- Bachelor's Degree in Computer Science, Information Technology, or closely related discipline
Job title
Job type
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Degree requirement
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