Application Support Engineer at Accenture

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 3 years of experience
15 years full time education (Bachelor’s degree in Computer Science, Information Technology, or related field)
Must Have Skills: Azure Data Factory, Azure Databricks, Azure SQL, Microsoft Azure Data Services
Good to Have Skills: PySpark, Microsoft Fabric, Data Lake Storage
Hands-on experience in designing and implementing ETL/ELT pipelines using Azure Data Factory and Azure Databricks
Proficiency in PySpark for data transformation and processing
Strong expertise in SQL and experience in optimizing ETL/SQL processes for performance and scalability
Experience in ensuring data quality through validation, cleansing, and transformation techniques
Proven experience in building and deploying scalable, cloud-based data solutions using Azure services such as Data Lake, Synapse Analytics, and Azure SQL
Ability to analyze and derive insights from large datasets using Databricks and other analytical tools
Experience in performance tuning of Azure Data Factory pipelines and SQL databases
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Ability to mentor and guide junior team members
Adaptability to work in a dynamic and fast-paced environment
Willingness to work in 1 PM to 10 PM shift timings
Relevant certifications in Azure Data Engineering or related technologies (plus)

Responsibilities

Lead the team in designing, developing, and implementing data engineering pipelines using Azure Data Factory and Azure Databricks
Ensure timely delivery of project commitments with high-quality standards
Review and validate the work of team members to ensure adherence to best practices, coding standards, and architectural guidelines
Optimize and scale data pipelines to handle massive data volumes and high-velocity data processing
Collaborate with cross-functional teams and participate in agile rituals such as sprint planning, daily stand-ups, and retrospectives
Troubleshoot and resolve issues in data pipelines and workflows

Skills

Key technologies and capabilities for this role

Azure Data FactoryAzure DatabricksAzure SQLPySparkMicrosoft FabricData Lake StorageETLELTSQL

Questions & Answers

Common questions about this position

What are the must-have skills for this Application Support Engineer role?

The must-have skills are Azure Data Factory, Azure Databricks, and Azure SQL, along with Microsoft Azure Data Services.

What are the shift timings for this position?

The role requires willingness to work in 1 PM to 10 PM shift timings.

What is the minimum experience required for this job?

Minimum 3 year(s) of experience is required.

What are the key responsibilities of this role?

Key responsibilities include leading the team in designing and implementing data engineering pipelines using Azure Data Factory and Azure Databricks, ensuring timely delivery, reviewing team work, optimizing pipelines, collaborating with cross-functional teams, and troubleshooting issues.

What educational qualifications are needed for this position?

A Bachelor’s degree in Computer Science, Information Technology, or a related field with 15 years full time education is required, along with relevant Azure certifications.

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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