Data Engineering Project with one of the leading enterprise client

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