Azure Databricks Fabric Data Engineer -4-12Y-PWC ACPwC Acceleration Center India • davanagere, karnataka, in
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Azure Databricks Fabric Data Engineer -4-12Y-PWC AC
PwC Acceleration Center India • davanagere, karnataka, in
13 hours ago
Job descriptionExperience in building stream-processing systems, using solutions such as Storm or Spark-Streaming Design and implement scalable ETL / ELT pipelines using Databricks and Apache Spark Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O Knowledge in Python Certification on AWS Architecture desirable Worked in Offshore / Onsite Engagements Experience in AWS services like STEP & Lambda Good Project Management skills with consulting experience in Complex Program Delivery Good to have knowledge in Cloud - AWS, GCP, Informatica-Cloud, Oracle-Cloud, Cloud DW - Snowflake & DB
We have an opportunity Azure Databricks+ MS Fabrics+ Python in PWC AC
Position : Azure Databricks+ Ms Fabrics+ Python Data Engineer
Experience Required : 4-12 Years
Notice Period : Immediate to 60 Days
Locations : Bangalore, Hyderabad, Kolkata, Chennai, Pune, Gurgaon & Mumbai
Work Mode : Hybrid
Must Have Skills :
1)Azure Data Services
2) MS Fabrics
3) Snowflake
4) Python
Mode Of interview Assessment test Glider followed by 2 Tech Interviews :
- Proficient with Azure Data Services, Databricks, and Snowflake.
- Experience with deep understanding in both traditional and modern data architecture and processing concepts including relational databases (e.g., SQL Server, MySQL, PostgreSQL), Data warehousing, big data, NoSQL and business analytics
- Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
- Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe,ETL data Pipelines, Big Data model techniques using
Python / Java
Interested candidates kindly share profiles on dhamma.b.bhawsagar@pwc.com
MB 8459621589
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Azure Data Engineer • davanagere, karnataka, in
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