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Data Engineer - AWS Databricks

6 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Contractual

Job Description

About Client: Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. Job Title: AWS Databricks Engineer · Location: Pune · Experience: 5 + yrs · Mode of Work : Hybrid · Job Type : Contract to hire. · Notice Period: Immediate joiners. · Project Tenure: Long-term project Job Description: Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks on cloud platforms. Work extensively with Python , Pyspark, SQL , and AWS for ETL, data wrangling, and transformation tasks. Integrate data from various structured and unstructured data sources. Implement best practices for performance tuning, data quality, and error handling. Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver insights. Manage and monitor data workflows, job orchestration, and troubleshooting issues in real-time. Ensure data security, governance, and compliance across all data processes. Required Skills: Minimum 6 years of hands-on experience in data engineering roles. Strong experience in Databricks for building and managing big data pipelines. Proficiency in Pypark scripting for automation and data transformation. Experience with cloud data architectures AWS Solid understanding of data warehousing concepts and best practices. Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Show more Show less

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