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Experience
7 - 10 Years
Job Location
Education
Master of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Any
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification Experiences in cloud native principals, designs and deployments. Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival Define workload migration strategies using appropriate tools Drive delivery in a matrixed environment working with various internal IT partners Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously Must be able to work independently and have skills in planning, strategy, estimation, scheduling, Strong problem solving, influencing, communication, and presentation skills, self-starter Experience with data processing frameworks and platforms (Hadoop, Presto, Tez, Hive, Spark etc.) Hands on experience in work with bigdata platforms and related programming languages (e.g. Linux, Python, PySpark, GIT, Jenkins). Apply for this postion
Desired Candidate Profile
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Proven expertise in Python programming and its application in data manipulation and analysis.
- Familiarity with cloud platforms such as AWS (S3, EMR, Glue), Azure (Databricks, Data Factory), or GCP (BigQuery, Dataproc).
- Proficiency in SQL and experience with relational and NoSQL databases.
- Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
Employment Type
- Full Time
Company Industry
Department / Functional Area
Keywords
- Senior Data Engineer
- Pyspark Data Engineer
- PySpark
- Cloud Computing
- Data Solutions Engineer
- Data Pipelines
- Data Architect
- ETL Developer
- Data Engineering
- Machine Learning Engineer Data Focus
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Virtusa Middle East FZ-LLC
Virtusa Middle East FZ-LLC
Raghu - HR Manager
DIC Building @3 DIC, Dubai, United Arab Emirates (UAE)