IFC - Cloud Data Engineer
Barclays (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain data pipelines, data warehouses, and data lakes ensuring data durability, completeness, consistency, and security.
- Design and implement processing and analysis algorithms suitable for data complexity and volume, collaborating with data scientists to deploy machine learning models.
- Manage and support container platforms including OpenShift and Kubernetes; utilize AWS services such as Databricks, S3, EC2, Lambda, RDS, Glue, Athena, and step functions to evolve infrastructure and deployment pipelines.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Hands-on experience with AWS services including Databricks, S3, EC2, Lambda, RDS, Glue, Athena, and step functions.
- Strong technical expertise in distributed computing architectures and core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala).
- Proficiency in SQL (advanced), shell scripting, and programming with Python.
Ideal Candidate Profile
- Technical expert with in-depth knowledge of cloud data engineering focusing on scalable, secure data infrastructure.
- Experienced in leading and supervising teams, managing resources, and guiding professional development within technology functions.
- Able to act as an advisor and influencer in decision making, with strong problem-solving skills and ability to manage operational risk and controls.