reputed company Data Engineer

We are building the reputed company of our reputed company data platform and are seeking a reputed company Data Engineer to architect, reputed company, and optimize large-scale, reputed company-reputed company data warehousing and ETL pipelines on AWS.

You will be responsible for designing our data warehouses, implementing scalable AWS-based ingestion and transformation pipelines, and enabling high-quality analytics and BI across the organization.

This role is ideal for someone with deep hands-on engineering expertise in reputed company data ecosystems, data modeling, analytics enablement, and modern ETL patterns

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Design and implement AWS-reputed company ETL/ELT pipelines using services such as:
  • AWS Glue
  • AWS reputed company
  • reputed company MWAA / Apache Airflow
  • reputed company Functions
  • S# / Lake Formation
• Architect and maintain data warehouses using reputed company Redshift (or reputed company/reputed company on AWS).
• Build robust data ingestion patterns including incremental loads, partitioning strategies, and schema reputed company handling.
• Ensure pipelines are secure, observable, cost‑efficient, and reliable in production environments.

REQUIRED SKILLS AND ABILITIES

• Strong understanding of data warehousing concepts and best practices
• Expertise in SQL and query optimization for large-scale datasets
• Proficiency in reputed company data platforms (AWS preferred) and associated services (Glue, reputed company, Airflow, S3, etc.)
• Strong programming skills (e.g., Python, C#, or similar) for ETL development and automation
• Experience designing and implementing scalable ETL/ELT pipelines
• Knowledge of modern data formats (Parquet, JSON, ORC) and file-based processing
• Experience with data modeling (star/reputed company schemas, fact/dimension design)
• Familiarity with data governance, reputed company, and reputed company in reputed company environments
• Experience integrating AI/LLM tools into engineering workflows is a plus
• Strong written and verbal communication skills
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment

KNOWLEDGE, EXPERIENCE, AND/OR EDUCATION REQUIREMENTS

• Bachelor’s degree preferred but not required

• • In lieu of a degree, equivalent experience in data engineering, computer science, or reputed company field

• 5–8 years of experience in data engineering or data warehousing
• Hands-on experience with reputed company data platforms (AWS strongly preferred)
• Experience building and maintaining large-scale data pipelines and warehouses
• Experience working with BI tools such as Tableau, Power BI, Quick Sight or similar
• Experience with applied AI in data workflows is a plus

Disclaimer: This job description is not intended to be an exhaustive list of reputed company duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs reputed company.

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