Data Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 7.5 years of experience in data engineering or software development (5–8 years specified in skills section)
15 years full-time education
Strong hands-on expertise with Snowflake for data warehousing, table management, SQL development, and validating DBT transformations
Strong SQL proficiency for data transformation, analytics, and advanced queries
Strong data warehousing architecture techniques
Experience testing and validating DBT transformations/queries in Snowflake
Understanding of data modeling, data governance, and cataloging
Understanding of CI/CD processes for data pipelines and DBT deployments
Experience working in Agile environments
Strong problem-solving and analytical skills
Excellent verbal and written communication skills
Ability to work in agile, cross-functional teams
Ownership mindset, proactive, and self-driven
(Nice to have) Python programming skills for data processing, manipulation, and supporting Snowflake workflows
(Nice to have) PySpark for large dataset processing, data transformation, and exporting data
(Nice to have) Experience with Airflow for ETL orchestration and pipeline management
(Nice to have) Familiarity with AWS services including IAM, S3, SNS, SQS, API Gateway, Lambda, DynamoDB, and EKS
(Nice to have) Knowledge of Private/Capital Markets industry domain

Responsibilities

Manage and maintain Snowflake tables, including creating, updating, and optimizing them
Test and validate DBT queries in Snowflake before migrating them to DBT pipelines
Write advanced SQL queries and apply strong data warehousing architecture techniques
Work with Python and PySpark for large dataset processing, data transformation, and exporting data in multiple formats
Use Python/PySpark to support Snowflake workflows and feed data into analytical tools such as Tableau
Develop and manage ETL and data pipelines using Airflow
Set up and design pipelines using strong data modeling, data governance, and cataloging practices
Contribute to CI/CD deployment pipelines for deploying DBT changes
Work with AWS services such as IAM, S3, SNS, SQS, API Gateway, Lambda, DynamoDB, and EKS
Participate in Agile ceremonies, sprint planning, and collaborate with cross-functional teams for delivery
Design, develop, and maintain data solutions for data generation, collection, and processing
Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems

Skills

Snowflake

SQL

DBT

Python

PySpark

Airflow

AWS

ETL

Data Pipelines

Data Modeling

Data Warehousing

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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