Custom Software Engineer at Accenture

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

Minimum 5 years of experience in Databricks Unified Data Analytics Platform
Minimum 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake
Minimum 5 years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery
Minimum 2 years of experience in real-time streaming using Kafka/Kinesis
Minimum 4 years of experience in one or more programming languages: Python, Java, Scala
Experience using Airflow for data pipelines in at least 1 project
1 year of experience developing CI/CD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform
Agile for testing skills
Educational Qualification: Bachelor of Engineering / Bachelor of Technology or 15 years full-time education
Ready to work in B Shift (12 PM to 10 PM)
Client-facing skills: solid experience working in client-facing environments to build trusted relationships with client stakeholders
Good critical thinking and problem-solving abilities
Healthcare knowledge
Good communication skills
Location: Hyderabad office

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
Handle data efficiently - tracking data lineage, ensuring data quality, and improving discoverability of data
Design, build, and configure applications to meet business process and application requirements
Collaborate with team members to develop innovative solutions and ensure seamless application functionality
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs

Skills

Key technologies and capabilities for this role

DatabricksPySparkAWSDelta LakeETLApache SparkBig DataHadoopData WarehousingData PipelinesDatabricks SQLData LakesStreamingAgile

Questions & Answers

Common questions about this position

What are the must-have skills for this Custom Software Engineer role?

Must-have skills include Databricks Unified Data Analytics Platform and Agile for testing.

What is the minimum experience required for this position?

A minimum of 5 years of experience is required, including 5 years in Databricks engineering solutions on AWS using PySpark, Databricks SQL, and Delta Lake, plus experience in ETL, Big Data/Hadoop, data warehouse architecture, real-time streaming with Kafka/Kinesis, programming languages like Python/Java/Scala, Airflow, and CI/CD pipelines.

What is the educational qualification needed for this role?

A Bachelor of Engineering or Bachelor of Technology with 15 years of full-time education is required.

Is there a specific work shift for this position?

Candidates must be ready to work in B Shift (12 PM to 10 PM).

What professional attributes make a strong candidate for this role?

Strong candidates have client-facing skills to build trusted relationships, good critical thinking and problem-solving abilities, health care knowledge, and good communication skills.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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