
Data Engineer
3 days ago
Notice Period-Immediate Joiner or Max 10 days (Do not share long notice period profile.)
Permanent Payroll - Anlage Infotech
Client - NTT DATA
Location- Mumbai - Hybrid - (2/3 days in office)
Role & responsibilities -
Work Location : Only Mumbai based local
Experience ( Relevant) : 7 + Years
2 addresses in Mumbai, one will be offer by client -
Altimus, Level 39 & 40
Pandurang Budhkar Marg, Worli
Mumbai
Commerz III, Level 1-18
International Business Park
Oberoi Garden City
Off Western Express Highway, Goregaon (E)
Mumbai
Shift Timings : Mostly 11 AM-9 PM IST
Remote / Hybrid : Hybrid (3 days at client office) Mandate
Start date : Immediate
Top 3 skills which is mandatory
- AWS
- Azure
- Python & SQL
Job Duties: Key Responsibilities:
- Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
- Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
- Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
- Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
- Develop and deliver detailed presentations to effectively communicate complex technical concepts.
- Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
- Adhere to Agile practices throughout the solution development process.
- Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
- 7+ years experience with Azure, Snowflake, Databricks, and Python
- Minimum Skills Required: At least 7+ years experience with the following tech stack - Azure, Snowflake, Databricks, and Python
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