Senior Data Engineer
Applicantz is seeking a Senior Data Engineer to join a high-impact Marketing Data Engineering team focused on building scalable cloud-based data platforms. The role involves designing and optimizing end-to-end data architecture, including complex ETL/ELT workflows and analytics-ready datasets. Candidates must have strong hands-on expertise in dbt, Python, SQL, Spark, and AWS. This position will collaborate with cross-functional teams to solve technical challenges and enhance data platform capabilities.
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Experience
7-10 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Applicantz is seeking a Senior Data Engineer to join a high-impact Marketing Data Engineering team focused on building scalable cloud-based data platforms. The role involves designing and optimizing end-to-end data architecture, including complex ETL/ELT workflows and analytics-ready datasets. Candidates must have strong hands-on expertise in dbt, Python, SQL, Spark, and AWS. This position will collaborate with cross-functional teams to solve technical challenges and enhance data platform capabilities.
TAL's take
Solid senior role with defined stack and responsibilities, though the company context is indirect.
Clear, well-defined responsibilities and specific technology stack requirements.
Must haves
- 7-10 years overall experience
- 5+ years in data engineering
- Hands-on expertise in dbt, SQL, Python, Spark, and Snowflake
- Experience with AWS services including S3, Glue, and Redshift
- Experience working with APIs and large-scale distributed datasets
Tools and skills
Nice to have: aws cloudformation, power bi, agile, scrum.
About the company
Unfamiliar company context acting as a recruiting partner for an unnamed global client, defaulting to mid-tier.
Posts mentioning Applicantz
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Pals, What are the skill set needed to build a SAAS application. Can anyone give me a basic roadmap so that I can skill myself towards my target Thank you!
2425 applicants for 1 Vacancy ! (including me)
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