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Accenture
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S&C Global Network - AI - CG&S - Data Engineer Analyst

S&C Global Network - AI - CG&S - Data Engineer Analyst

Accenture

1 - 3 years

15 - 19 Lacs

Bengaluru

Posted:1 month ago| Platform:

Apply

Skills Required

python data engineering sql machine learning algorithms etl process snowflake airflow data warehousing microsoft azure machine learning artificial intelligence git spark gcp data warehousing concepts hadoop big data aws etl consumer goods

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title:Industry & Function AI Data Engineer Analyst S&C Global Network
Location: Primary - Bengaluru, Secondary - Gurugram
Management Level:11 - Analyst
Must-Have

Skills:

Proficiency in Python, SQL, and data engineering tools, Experience with cloud platforms like AWS, Azure, or GCP, Knowledge of data warehousing concepts and ETL processes, Strong problem-solving and analytical skills.
Good-to-Have

Skills:

Familiarity with big data technologies (e.g., Hadoop, Spark), Experience with data pipeline tools (e.g., Apache Airflow), Understanding of MLOps practices, Strong communication and collaboration skills Snowflake,DBT,etc.like Computer Science, Information Systems, or Engineering. MBA is a plus.
Job

Summary:As a Data Engineer Analyst, you will play a critical role in designing, implementing, and optimizing data infrastructure to power analytics, machine learning, and enterprise decision-making. You will collaborate closely with stakeholders, translate business needs into data-driven solutions, and ensure seamless integration into enterprise ecosystems.

Roles & Responsibilities:

Build and maintain scalable data pipelines and systems for data ingestion, transformation, and storage.

Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable solutions.

Ensure data accuracy, consistency, and reliability through robust validation and governance practices.

Stay updated with the latest tools and technologies in data engineering through professional development opportunities.

Professional & Technical

Skills:

Excellent problem-solving abilities.

Strong analytical thinking and attention to detail.

Strong knowledge of traditional statistical methods, basic machine learning techniques.

Ability to work independently and as part of a team.

Effective time management and organizational skills.

Advanced knowledge of data engineering techniques and tools.

Experience with data wrangling and preprocessing.

Familiarity with version control systems like Git.

Additional Information:
An ideal candidate for the Data Engineer Analyst role at Accenture should have a strong technical background in data engineering, with proficiency in Python, SQL, and data engineering tools. They should be experienced with cloud platforms like AWS, Azure, or GCP, and have a solid understanding of data warehousing concepts and ETL processes. Strong problem-solving and analytical skills are essential for this role. About Our Company | Accenture
Qualification Experience: Minimum 1-3 years in data engineering or related roles. Experience in Consumer Goods and Services (CG&S) is a plus.

Educational Qualification: Bachelor's or master's degree in a quantitative field

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