Project Role : Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : PySpark
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : A Engineering graduate preferably Computer Science graduate 15 years of full time education

Summary: Overall 8+ years of experience working in Data Analytics projects MUST be able to understand ETL technologies code (Ab Initio) an translate into Azure native tools or Pyspark MUST have led complex projects MUST be able to lead 10+ members team Good to have 1. Good to have any ETL tool development experience 2. Good to have Cloud (Azure) exposure or experience As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve working with PySpark and collaborating with cross-functional teams to deliver high-quality solutions. Roles & Responsibilities: - Lead the design, development, and implementation of PySpark-based applications, ensuring high performance and scalability. - Collaborate with cross-functional teams, including business analysts, data scientists, and software developers, to deliver high-quality solutions that meet business requirements. - Act as the primary point of contact for all application-related issues, providing technical guidance and support to team members and stakeholders. - Ensure adherence to software development best practices, including code reviews, testing, and documentation. - Stay up-to-date with the latest trends and technologies in PySpark and related fields, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in PySpark. - Good To Have Skills: Experience with Hadoop, Hive, and other big data technologies. - Solid understanding of software development best practices, including Agile methodologies, code reviews, testing, and documentation. - Experience with data processing and analysis using PySpark, including data cleaning, transformation, and normalization. - Strong problem-solving and analytical skills, with the ability to identify and resolve complex technical issues. - Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Additional Information: - The candidate should have a minimum of 7.5 years of experience in PySpark. - The ideal candidate will possess a strong educational background in computer science, software engineering, or a related field, along with a proven track record of delivering high-quality solutions. - This position is based at our Hyderabad office.

A Engineering graduate preferably Computer Science graduate 15 years of full time education

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