Data Engineer (SRC JRB-051)(For Hiring)

CORE REQUIREMENT:

1. ETL / Data Pipeline Experience

Strong hands-on experience building ETL pipelines/workflows. Includes:

o Data ingestion

o Data transformation

o End-to-end data processing

2. Databricks Experience

Practical working experience with Databricks

Preferred as a core platform skill

Involved in building and managing pipelines

3. Python Programming

Solid experience in Python

Used for:

o Data engineering workflows

o Pipeline development

Can compensate partially if Databricks experience is lacking (but still needs strong proficiency)

4. SQL (Any Type)

Proficiency in SQL (any variant):

o MS SQL, MySQL, PostgreSQL, etc.

Required, but:

o SQL alone is not sufficient — must be combined with other skills

5. Actual Data Engineering Experience (Not Just Support/Operations)

Must have hands-on development experience

Candidates are rejected if they only have:

o Data operations

o Pure data analyst work

Implementation/build experience is critical

NICE TO HAVES

1. Strong Python Even Without Databricks

Candidates with:

o Deep Python + ETL experience

o But limited/no Databricks

May still pass initial screening and be assessed further

2. Partial Databricks Experience

Not strictly required to have full end-to-end Databricks lifecycle

Partial exposure is acceptable if:

o Strong ETL + Python background is present

3. Broader Technical Depth (Validated in Interviews)

Candidates who pass initial screening may be:

o Further probed during technical interviews

Depth and adaptability are considered beyond paper screening