AI Data Engineer/Analyst/Architect (Strong AI)

Hello,

Please find the below requirement and share the sutiable profiles asap.

Job Description

We are looking for a data engineer with experience in the data analytics space. What we need to see is that a candidate has done data engineering for analytics teams — the full scope of what data engineering requires — and that the consumers of their work were data analysts or data scientists.

Core Professional Competencies

1. Communication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
2. Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
3. Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
4. Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
5. Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.

Data Engineering Expertise (5+ years)

1. Experienced in building and maintaining data pipelines (ETL/ELT)
2. Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
3. Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
4. Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
5. Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)

Srini

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