PySpark Developers

Role Overview: As a PySpark Developer, you will be responsible for developing and maintaining PySpark applications. You will work with various technologies within the Big Data ecosystem, such as Apache Spark, Hadoop, and SparkSQL. Additionally, you will be expected to have a good understanding of AWS and Snowflake, as well as experience with CICD and system design. Candidates with prior experience in technologies related to Fund transfer AML will have an added advantage. Strong communication skills, the ability to work under pressure, and a proactive attitude towards learning are essential for this role. Key Responsibilities: - Develop and maintain PySpark applications using Apache Spark and Hadoop - Work with technologies like SparkSQL, Python, and PLSQL - Have a good understanding of AWS and Snowflake - Implement CICD practices and contribute to system design - Utilize your knowledge of Fund transfer AML technologies, if applicable - Communicate effectively with team members and stakeholders - Adapt to multitasking and working under strict deadlines - Collaborate with various internal systems and stakeholders Qualifications Required: - 3-8 years of experience in Big Data technologies, specifically PySpark, Hadoop, and SparkSQL - Proficiency in Apache Spark, Big Data Hadoop Ecosystem, SparkSQL, and Python - Familiarity with AWS and Snowflake - Strong understanding of CICD practices and system design - Prior experience in Fund transfer AML technologies is a plus - Excellent written and oral communication skills - Proactive and self-motivated with quick learning abilities - Ability to multitask and thrive in a fast-paced environment - Capability to collaborate with multiple stakeholders Please note that interested candidates are requested to share their updated resume to preethi.r@ltimindtree.com.,