Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Databricks Unified Data Analytics Platform, Agile for testing
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. Key Responsibilities: - Work on client projects to deliver AWS, PySpark, Databricks based Data engineering & Analytics solutions. -Build and operate very large data warehouses or data lakes. - ETL optimization, designing, coding, & tuning big data processes using Apache Spark. - Build data pipelines & applications to stream and process datasets at low latencies. -Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience: - Minimum of 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake. -Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery. -Minimum of 2 years of experience years in real time streaming using Kafka/Kinesis - Minimum 4 year of Experience in one or more programming languages Python, Java, Scala. - Experience using airflow for the data pipelines in min 1 project. -1 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform Professional Attributes: - Ready to work in B Shift (12 PM to 10 PM) - A Client facing skills: solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders. - Good critical thinking and problem-solving abilities - Health care knowledge - Good Communication Skills Educational Qualification: Bachelor of Engineering / Bachelor of Technology Additional Information: Data Engineering, PySpark, AWS, Python Programming Language, Apache Spark, Databricks, Hadoop, Certifications in Databrick or Python or AWS. Additional Information: - The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform - This position is based at our Hyderabad office - A 15 years full-time education is required

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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