Eucloid Data Solutions Pvt Ltd
Eucloid - Lead Data Engineer
- Full-time
Chennai, भारत
Vacancy description
Eucloid Data Solutions Pvt Ltd
Chennai, भारत
Job Description :Eucloid is looking for a Data Engineer to join our Data Platform team supporting various business https://jobeax.com/link/uTkIfl1tAHKRWQPa ideal candidate will support development of data infrastructure for our clients by participating in activities which may include starting from technology selection to designing and building of different https://jobeax.com/link/51rSkSuxxuSD0rd8 will also involve in projects like integrating data from various resources, managing big data pipelines that are easily accessible with optimized performance of overall https://jobeax.com/link/ovpDHil9s32V4E4l ideal candidate is an experienced data wrangler who will support our software developers, database architects and data analysts on business https://jobeax.com/link/s0T385pHqqaya7XH must be self-directed and comfortable supporting the data needs of cross-functional teams, systems, and technical https://jobeax.com/link/c21jIsX1adt6pb90 :- Hands-On experience in AWS technologies (AWS S3, AWS EMR, Athena etc.), Redshift, Python.- Must have around 4+ years of experience in delivering data engineering projects.- Have strong knowledge in ETL, Data warehousing, Business intelligence.- Should be able to configure pipelines to ingest data from landing zone to the data platform.- Should be able to configure pipelines to ingest and process data from supplier landing zone to the data platform.- Monitor and respond to scheduled workloads that feed data from and to the data platform.- Communicate and work on schema drift and/or other Supplier issues.- Create and execute quality scripts to monitor and maintain the accuracy of our data.- Hands-On experience with Databricks or snowflake is a huge https://jobeax.com/link/FWbCzgjtwors89Z3 Skills :- Hands-on expertise in one or more Amazon Web Services (AWS) technologies, such as Kinesis, S3, Redshift, Athena, Lambda.- Experience with following aspect of data engineering :1. Building and optimizing big data data pipelines, architectures and data sets.2. Manipulating, processing and extracting value from large, disconnected datasets.3. Development of data pipeline and workflow management tools : Azkaban, Luigi, Airflow, etc.- Good experience with at least one ETL tool like Talend, Informatica etc.- Build processes supporting data transformation, data structures, metadata, dependency and workload management.- Expertise in at least one of the NoSQL databases. (ref:hirist.tech)
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