- The ideal candidate should possess at least 6 years of relevant experience in data modeling with proficiency in SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools) along with GCP.
Key Responsibilities:
- Develop and configure data pipelines across various platforms and technologies.
- Write complex SQL queries for data analysis on databases such as SQL Server, Oracle, and HIVE.
- Create solutions to support AI/ML models and generative AI.
- Work independently on specialized assignments within project deliverables.
- Provide solutions and tools to enhance engineering efficiencies.
- Design processes, systems, and operational models for end-to-end execution of data pipelines.
Preferred Skills:
- Experience with GCP, particularly Airflow, Dataproc, and Big Query, is advantageous.
Requirements
Requirements:
- Strong problem-solving and analytical abilities.
- Excellent communication and presentation skills.
- Ability to deliver high-quality materials against tight deadlines.
- Effective under pressure with rapidly changing priorities.
Note: The ability to communicate efficiently at a global level is paramount.
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- Minimum 6 years of experience in data modeling with SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools).
- Proficiency in writing complex SQL queries for data analysis.
- Experience with GCP, particularly Airflow, Dataproc, and Big Query, is an advantage.
- Strong problem-solving and analytical abilities.
- Excellent communication and presentation skills.
- Ability to work effectively under pressure with rapidly changing priorities.
📌 Hiring || Data Modeling With GCP Professionals - Hyd/Pune (Hyderabad)
🏢 Nameless
📍 Hyderabad
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