Application Developer

Posted:
12/15/2024, 8:48:44 PM

Location(s):
Karnataka, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Software Engineering

Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Google Dataproc
Good to have skills : Apache Spark, Google BigQuery, Apache Airflow
Minimum 5 year(s) of experience is required
Educational Qualification : minimum 15 years of fulltime education

Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Google Dataproc. Your typical day will involve collaborating with cross-functional teams, developing and deploying applications, and ensuring their functionality and performance. Roles & Responsibilities: - Design, build, and configure applications using Google Dataproc to meet business process and application requirements. - Collaborate with cross-functional teams to identify and prioritize application requirements and develop solutions. - Develop and deploy applications, ensuring their functionality and performance. - Troubleshoot and debug applications to resolve issues and ensure their smooth operation. - Stay updated with the latest advancements in Google Dataproc and related technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Strong expereince in Apache Spark and Java for Spark. - Strong experience with multiple database models ( SQL, NoSQL, OLTP and OLAP) - Strong experience with Data Streaming Architecture ( Kafka, Spark, Airflow) - Strong knowledge of cloud data platforms and technologies such as GCS, BigQuery, Cloud Composer, Dataproc and other cloud-native offerings - Knowledge of Infrastructure as Code (IaC) and associated tools (Terraform, ansible etc) - Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series) - Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP) - Comfortable communicating with various stakeholders (technical and non-technical) - GCP Data Engineer Certification is a nice to have Additional Information: - The candidate should have a minimum of 5 years of experience in Google Dataproc. - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. - This position is based at our Mumbai office.

minimum 15 years of fulltime education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing