Custom Software Engineer at Accenture

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data EngineeringIndustries

Requirements

3–5 years of experience in data operations, data platform support, or ETL monitoring roles
Hands-on exposure to Snowflake and basic understanding of data warehousing concepts
Good SQL knowledge for querying tables, understanding dbt code or validating data issues
Familiarity with dbt (data build tool) — ability to read, understand code and interpret dbt logs
Experience with job scheduling/orchestration tools (e.g., Maestro, Airflow, Control-M, etc.)
Strong analytical and problem-solving skills with attention to detail
Excellent communication and incident reporting skills
Willingness to work in rotational shifts to ensure full-day support coverage (8:00 AM – 5:30 PM or 12:00 PM – 9:30 PM)
Bachelor of engineering or equivalent degree (15 years full time education)

Responsibilities

Monitor end-to-end data pipelines and job executions in Maestro across ingestion (Fivetran/HVR) and transformation (dbt) layers
Detect and triage failures or performance issues in data loads and transformations
Perform initial troubleshooting and apply defined remedial actions based on SOPs
Analyze root cause of recurring or complex issues and recommend long-term fixes or improvements
Communicate effectively with relevant teams — data engineering, platform, and business users — regarding job status, delays, and incidents
Escalate issues to Level 2/Level 3 support as per escalation matrix when beyond scope of L1/L2 handling
Document incidents and maintain detailed logs of investigations, resolutions, and preventive actions
Collaborate with development teams to improve monitoring, alerting, and error-handling processes
Contribute to continuous improvement of SOPs and runbooks

Skills

Key technologies and capabilities for this role

SnowflakedbtFivetranHVRMaestroData PipelinesRoot Cause Analysis

Questions & Answers

Common questions about this position

What experience level is required for this Data Platform Support Engineer role?

Minimum 3 years of experience is required, with 3–5 years preferred in data operations, data platform support, or ETL monitoring roles.

What are the key technical skills needed for this position?

Required skills include hands-on exposure to Snowflake, good SQL knowledge, familiarity with dbt, and experience with job scheduling tools like Maestro. Good to have skills include Data Building Tool.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Data Platform Support Engineer position?

A strong candidate has 3–5 years in data operations or ETL monitoring, hands-on Snowflake experience, SQL proficiency, dbt familiarity, orchestration tool experience, and strong analytical and problem-solving 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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