Data Engineering Project with one of the leading enterprise client
Budget: $15 – $25 USD
We are seeking experienced freelancers for Data Engineering Project with one of the enterprise client.
If you are looking for an ongoing project to put your vast experience in action, we want to hear from you!
Please note that this is NOT a big data role and this does not require Hadoop / Spark skillset. This is someone who understands fundamentals of data modelling, warehousing, ETL etc.
Data Engineer responsibilities:
Develop, construct, test and maintain data architectures
Handle data related activities such as data parsing, cleansing, quality definitions, pipelining, storage, maintenance of ETL scripts etc.
Support in building complex queries required by the product teams
Handle data integration, consolidation and reconciliation activities for digital products
Provide governance support to ensure the data is stored and managed as per industry practices
Support data preparation activities for analytics including pipelining, data cleansing and web scrapping
Requirements:
Preferred stack: Postgresql, Redshift, Airflow, SQL, Python
Strong experience in SQL and data architecture
Strong experience in warehousing
Have handled data engineering & management projects before
Duration: 6 months
Availability: 40 hours a week
Time zone: IST Time zone
If you are looking for an ongoing project to put your vast experience in action, we want to hear from you!
Please note that this is NOT a big data role and this does not require Hadoop / Spark skillset. This is someone who understands fundamentals of data modelling, warehousing, ETL etc.
Data Engineer responsibilities:
Develop, construct, test and maintain data architectures
Handle data related activities such as data parsing, cleansing, quality definitions, pipelining, storage, maintenance of ETL scripts etc.
Support in building complex queries required by the product teams
Handle data integration, consolidation and reconciliation activities for digital products
Provide governance support to ensure the data is stored and managed as per industry practices
Support data preparation activities for analytics including pipelining, data cleansing and web scrapping
Requirements:
Preferred stack: Postgresql, Redshift, Airflow, SQL, Python
Strong experience in SQL and data architecture
Strong experience in warehousing
Have handled data engineering & management projects before
Duration: 6 months
Availability: 40 hours a week
Time zone: IST Time zone