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We provide end-to-end recruitment services. Our outstanding longevity as a company has come through understanding our client’s needs and focusing on delivering value. We do not believe in being responsive to our client’s needs as much as we believe in anticipating those needs. We know the rapidly shifting and compelling world of recruitment better than most. That has come through long years in the field, understanding shifting trends and being flexible in adapting to changes.➼Launched in 2012 at Hyderabad, India.➼Started Bangalore Office in 2019.➼Reached $ 11.5 million USD in 2021.➼Inaugurated offices in the US, UK, and the Middle East in 2022-2023.➼Global Competitor for Top recruiting firms in India.➡VisionWith Quality and Ethics, Sureminds aims to be one of the top 25 Staffing Agencies by 2025.➡MissionInstitutionalizing and orchestrating the standards of the recruitment process with unparalleled strategies and Teamwork.➡ValuesCustomer Experience & Care, Employee Satisfaction, Training, Health & Safety, be part of stakeholder success and in turn be Triumphant.➡Work Culture➼Healthy Work Relationships➼Increased Productivity➼Gender Equality Ratio➼A Sense of Safety and Well-being
5+ years of experience as a Big Data Engineer with a strong focus on Apache Spark and Databricks.
Proficiency in Scala for data processing and transformation.
Experience with version control systems, particularly Git and GitHub.
Strong knowledge of cloud computing platforms, with a preference for experience with Azure.
Hands-on experience with Azure Data Factory or similar data orchestration tools.
Familiarity with data modeling concepts and best practices.
Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
Excellent communication and collaboration skills to work effectively within a cross-functional team.
Certifications in relevant technologies (e.g., Azure Data Engineer, Databricks) are a plus.
If you are a seasoned Big Data Engineer with expertise in Spark, Scala, Azure, and a passion for solving complex data engineering challenges, we encourage you to apply. Join our team and play a crucial role in shaping our data infrastructure and analytics capabilities.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
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