Job description
Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics Develop scalable ETL/ELT workflows with Python, SQL, and Apache Spark Implement robust data models aligned to enterprise architecture standards Engineer analytics and data integration pipelines in cloud/hybrid environments Support data governance efforts including metadata management, data lineage, and cataloging
Roles and responsibilities
Python Tech Lead, Python Tech Lead
Key skills
Role details
Industry: IT - Consulting Services / Advisory Services Role category: Python Tech Lead, Data Engineer Education: Any Graduate - Any Specialization, Any Post Graduate - Any Specialization, Any Doctorate - Any Specialization
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Warning signs
- Requests for registration, interview, security, training or refundable fees.
- Requests for OTPs, passwords, card details or bank-account credentials.
- Instant selection or an offer letter without a proper interview.
- Unrealistic salary promises or pressure to act immediately.
- Messages from unofficial domains, personal emails or unknown numbers.
- Requests to communicate or pay outside the employer’s verified process.
- Requests to install unknown applications, screen-sharing tools or remote-access software.
- Recruiters using look-alike domains, misspelled company names or unverifiable profiles.
- Requests to purchase equipment, courses or documents from a specified person.
Protect yourself
- Independently verify the employer, recruiter and job information.
- Check the company’s official website, address and contact details before responding.
- Confirm important communication through an official company email domain.
- Request a written job description and carefully review every offer condition.
- Never transfer money to obtain an interview, job or offer letter.
- Do not share OTPs, passwords or confidential banking information.
- Never install remote-access software or share your screen with an unknown recruiter.
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- Share identity documents only after verification and add the intended purpose where appropriate.
- Keep copies of suspicious emails, messages, numbers and payment requests.
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