Role Overview
MyCareernet is hiring a entry-level Azure Python Data Engineer. This is a full-time role in IN. Part of MyCareernet's Lifecycle hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
As a Data Engineer at IT Services Organization, your role involves designing and implementing scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets. You will be responsible for developing and optimizing end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products. Building robust exception handling, logging, and monitoring mechanisms for better observability and operational support is crucial. You will take ownership of complex modules, lead the development of critical data workflows and components, and provide guidance to data engineers and peers on best practices. Collaborating with cross-functional teams to deliver impactful analytics solutions is also a key aspect of your role.
Key Responsibilities:
- Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation
- Develop and optimize end-to-end data pipelines for structured and unstructured data
- Build robust exception handling, logging, and monitoring mechanisms
- Take ownership of complex modules and lead critical data workflows
- Provide guidance to data engineers and peers on best practices
- Collaborate with cross-functional teams to deliver impactful analytics solutions
Qualifications Required:
- 5-10 years of total IT experience, including at least 3 years in big data engineering on Microsoft Azure
- Strong SQL expertise with experience in Azure SQL, Synapse, or similar cloud databases
- Proven experience in building high-performance data pipelines using Azure Databricks (PySpark, Spark SQL)
- Hands-on experience with Azure Data Factory for pipeline orchestration
- Experience with batch and streaming data processing
- Delivered at least one end-to-end Data Lakehouse solution (Medallion Architecture)
- Strong programming and debugging skills in Python, PySpark, and SQL
- Knowledge of data governance, security, and lifecycle management
Additional Details:
- Exposure to LLM / Generative AI applications
- Knowledge of NoSQL databases
- Experience supporting BI and Data Science teams
- Azure / Databricks certifications
Education
- Bachelor's Degree in related field
(Note: Company details were not provided in the job description) As a Data Engineer at IT Services Organization, your role involves designing and implementing scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets. You will be responsible for developing and optimizing end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products. Building robust exception handling, logging, and monitoring mechanisms for better observability and operational support is crucial. You will take ownership of complex modules, lead the development of critical data workflows and components, and provide guidance to data engineers and peers on best practices. Collaborating with cross-functional teams to deliver impactful analytics solutions is also a key aspect of your role.
Key Responsibilities:
- Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation
- Develop and optimize end-to-end data pipelines for structured and unstructured data
- Build robust exception handling, logging, and monitoring mechanisms
- Take ownership of complex modules and lead critical data workflows
- Provide guidance to data engineers and peers on best practices
- Collaborate with cross-functional teams to deliver impactful analytics solutions
Qualifications Required:
- 5-10 years of total IT experience, including at least 3 years in big data engineering on Microsoft Azure
- Strong SQL expertise with experience in Azure SQL, Synapse, or similar cloud databases
- Proven experience in building high-performance data pipelines using Azure Databricks (PySpark, Spark SQL)
- Hands-on experience with Azure Data Factory for pipeline orchestration
- Experience with batch and streaming data processing
- Delivered at least one end-to-end Data Lakehouse solution (Medallion Architecture)
- Strong programming and debugging skills in Python, PySpark, and SQL
- Knowledge of data governance, security, and lifecycle management
Additional Details:
- Exposure to LLM / Generative AI applications
- Knowledge of NoSQL databases
- Experience supporting BI and Data Science teams
- Azure / Databricks certifications
Education
- Bachelor's Degree in related field
(Note: Company details were not provided in the job description)
Frequently Asked Questions
How do I apply for the Azure Python Data Engineer position at MyCareernet?
Use the Apply button above to submit your application directly to MyCareernet. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Azure Python Data Engineer position at MyCareernet located?
This position is based in IN. MyCareernet has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Azure Python Data Engineer at MyCareernet earn?
MyCareernet has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Azure Python Data Engineer role at MyCareernet posted?
This role was posted on April 6, 2026 (63 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Azure Python Data Engineer role at MyCareernet entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements MyCareernet has listed.
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get Started FreeNo credit card to start