Data Engineer
ALP is hiring a Data Engineer to build and maintain scalable data pipelines and cloud-based analytics platforms. The role involves designing ETL/ELT workflows using Python and Apache Airflow, as well as developing advanced SQL transformations and enterprise data models. Candidates should have a strong engineering background with experience in cloud-native data architectures. The position works closely with analytics and AI/ML teams to ensure production-grade data quality.
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Experience
3-5 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
ALP is hiring a Data Engineer to build and maintain scalable data pipelines and cloud-based analytics platforms. The role involves designing ETL/ELT workflows using Python and Apache Airflow, as well as developing advanced SQL transformations and enterprise data models. Candidates should have a strong engineering background with experience in cloud-native data architectures. The position works closely with analytics and AI/ML teams to ensure production-grade data quality.
TAL's take
Solid mid-level engineering role with clear, well-defined technical requirements and expectations within a standard industry domain.
The JD provides a highly specific breakdown of responsibilities, technical requirements, and core skills, leaving little ambiguity regarding the role.
Must haves
- 3-5 years experience building scalable data pipelines
- Strong SQL development skills
- Experience with ETL/ELT development
- Hands-on experience with Apache Airflow
- Practical experience with cloud data platforms
- Understanding of dimensional data modelling
Tools and skills
Nice to have: teradata, pyspark, snowflake, bigquery, redshift, sql server, postgresql, pandas, git.
About the company
unfamiliar company, default mid-tier