Data Engineer

S&C Global Network - AI - Software & Platform - Gen AI - Consultant

Job Title - S&C Global Network - AI - CMT – DE- Consultant

Management Level: 9- Consultant

Location: Open

Must-have skills: Data Engineering

Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Job Summary:

We are looking for a passionate and results-driven Data Engineer to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support data-driven decision-making across the organization.

Roles & Responsibilities:

Design, build, and maintain robust, scalable, and efficient data pipelines (ETL/ELT).

·  Work with structured and unstructured data across a wide variety of data sources.

·  Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.

·  Optimize data systems and architecture for performance, scalability, and reliability.

·  Monitor data quality and support initiatives to ensure clean, accurate, and consistent data.

·  Develop and maintain data models and metadata.

·  Implement and maintain best practices in data governance, security, and compliance.

Professional & Technical Skills:

   2+ years in data engineering or related fields

·  Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).

·  Strong programming skills in Python, Scala, or Java.

·  Experience with big data technologies such as Spark, Hadoop, or Hive.

·  Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

·  Experience with orchestration tools like Airflow, Luigi, or similar.

·  Solid understanding of data warehousing concepts and data modeling techniques.

·  Good problem-solving skills and attention to detail.

·  Experience with modern data stack tools like dbt, Snowflake, or Databricks.

·  Knowledge of CI/CD pipelines and version control (e.g., Git).

·  Exposure to containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation).

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients

- This position is based at our Bengaluru (preferred) and other AI Accenture locations.

About Our Company | Accenture