Data Engineer - ETL(Extract, Transform, Load)
YASH TechnologiesMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessCommon data-engineer title, mid-level range, metro location, broad skillset increases competition.
Core ETL, SQL and PySpark skills are highly transferable across industries.
Explicit 2-4 years plus mandatory ETL, SQL, PySpark skills increases screening strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain ETL/ELT data pipelines to support data engineering requirements.
Collaborate using SQL and potentially with Python and PySpark to ensure efficient data processing and transformation.
Contribute to data workflows possibly involving DBT for data build processes.
Minimum Requirements
2-4 years of experience in data engineering with ETL/ELT pipeline expertise.
Proficient in SQL for data manipulation and querying.
Familiarity with PySpark and Python is expected.
Location requirement: Pune, India; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced data engineer comfortable working with ETL/ELT frameworks and SQL-based data pipelines.
Demonstrates ability to use or learn DBT for managing data transformations.
Operates well in technology-integrative environments valuing continuous learning and collaboration.