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Job Description:Preferred Skills and Qualifications:Proficient in AWS Cloud services and infrastructure.Strong experience with Databricks and PySpark.Extensive knowledge of data gathering ingestion, manipulation, orchestration, and optimization.Proven track record of leading multi-shore teams on sizable cloud and data projects.Excellent communication, presentation, and client interaction skills.Ability to work effectively in a fast-paced, dynamic environment with multiple stakeholders.
Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes using AWS services, Databricks, and PySpark.Integrate and manage data from multiple sources, ensuring data quality and integrity.Optimize data workflows for performance and cost-efficiency on AWS Cloud.Work with AWS services such as Redshift, Aurora, Glue, Lambda, and other AWS data-related technologies.Implement and manage data warehousing solutions and cloud data storage.Develop RESTful APIs to support data access and manipulation.Utilize ETL tools and technologies for data extraction, transformation, and loading.Leverage Spark and Python for data processing and analysis.Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and daily stand-ups.Collaborate with cross-functional teams, including data scientists, analysts, and stakeholders, to deliver high-quality data solutions.Lead multi-shore teams on large-scale cloud and data initiatives.Provide technical guidance and mentorship to junior team members.Communicate effectively with clients and stakeholders to understand requirements and present solutions.
Interview Process:1- Internal Technical Screening round.2- Client Discussion3- HR Discussion
About CompanyNAM Info Inc. is a leading technology and services delivery organization. We are proud of the relationships we have built over the last two decades with our clients, employees, vendors, and various talent agencies.For more details - ExecutiveNAM Info Pvt Ltd,Email:
