This job is expired.


Data Engineer

India, Delhi
Last update 2024-06-15
Expires 2024-06-14
ID #2186609430
Data Engineer
India, Delhi,
Modified June 8, 2024



Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.

Minimum Qualifications
3+ year experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios.
Overall solid programming skills, able to write modular, maintainable code, preferably Python & SQL
Built processes supporting data transformation, data structures, metadata, dependency, data quality, and workload management
Bachelor's degree in computer science, information systems, or a related discipline
Have experience with workflow management solutions like Airflow
Have experience on Data transformations tools like DBT
Experience working with Git
Experience working with big data environment, like, Hive, Spark and Presto
Ready to work flexible hours

Maintain/develop data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation and loading of data from a wide variety of data sources using Python, SQL, DBT, and other data technologies
Design, implement, test and maintain data pipelines/ new features based on stakeholders' requirements
Develop/maintain scalable, available, quality assured analytical building blocks/datasets by close coordination with data analysts
Optimize/ maintain workflows/ scripts on present data warehouses and present ETL
Design / develop / maintain components of data processing frameworks
Build and maintain data quality and durability tracking mechanisms to provide visibility into and address inevitable changes in data ingestion, processing, and storage
Translate technical designs into business appropriate representations and analyse business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
Focus on automation use cases, CI/CD approaches and self-service modules relevant for data domains
Address questions from downstream data consumers through appropriate channels
Create data tools for analytics and BI teams that assist them in building and optimizing our product into an innovative industry leader
Stay up to date with data engineering best practices, patterns, evaluate and analyze new technologies, capabilities, open-source software in context of our data strategy to ensure we are adapting our own core technologies to stay ahead of the industry
Contribute to Analytics engineering process

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Data engineer

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