Senior Data Engineer

7 days ago


mumbai, India RapidBrains Full time
Job Title : Senior Data Engineer (Java + Azure)
Job ID: NIM2S668
Experience Required: 8+ Years
Location: Mumbai, Chennai, Gurgaon
Employment Type : Fulltime
Notice Period: Immediate to 30 days
Job Description:
Key Responsibilities:
Map data into common formats, conduct advanced data analysis, validate findings, test hypotheses, and communicate results effectively.
Provide recommendations for optimizing data usage, enhancing search functionalities, and improving data accuracy.
Communicate technical information effectively to both technical and non-technical audiences, including third-party vendors, external customers, and various levels of management.
Collaborate with team members and participate in regular team meetings.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or an equivalent technical discipline.
10+ years of experience in data mapping, data analysis, and handling large data sets/data warehouses.
Strong experience in application development using Core Java.
Proficiency with Azure technologies, including Azure Databricks, ADLS Gen2, Azure Data Explorer, and EventHub.
Experience with application containerization and deployment processes (Docker, Helm charts, GitHub, CI/CD pipelines).
Preferred experience working with Cosmos DB.
Strong analytical and problem-solving skills with a good understanding of data structures, algorithms, and their usage in solving business problems.
Excellent verbal and written communication skills, along with customer service and interpersonal skills.
Demonstrated ability to set, communicate, implement, and achieve business objectives and goals.
Strong organizational, project planning, time management, and change management skills across multiple functional groups.
Technical Skills:
Core Java
Azure Technologies: Azure Databricks, ADLS Gen2, Azure Data Explorer, EventHub
Application Deployment: Docker, Helm charts, GitHub, CI/CD pipelines
Big Data Analysis and Evaluation
Preferred: Experience with Cosmos DB
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