Job
Description
As a Azure Databricks+ Ms Fabrics+ Python Data Engineer at PWC AC, you will play a crucial role in leveraging your 4-16 years of experience to contribute to the team. Your primary responsibilities will include: - Proficient with Azure Data Services, MS Fabrics, Snowflake, and Python. - Deep understanding in traditional and modern data architecture and processing concepts. - Experience in relational databases like SQL Server, MySQL, PostgreSQL, Data warehousing, big data, NoSQL, and business analytics. - Hands-on experience with Azure services such as ADLS, Data Bricks, Data Flows, HDInsight, and Azure Analysis services. - Working knowledge of Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python or Java. - Building stream-processing systems with solutions like Storm or Spark-Streaming. - Designing and implementing scalable ETL/ELT pipelines using Databricks and Apache Spark. - Familiarity with Big Data ML toolkits such as Mahout, SparkML, or H2O. - Certification in AWS Architecture is desirable. - Experience in Offshore/Onsite Engagements and AWS services like STEP & Lambda. - Project Management skills with consulting experience in Complex Program Delivery. - Knowledge in Cloud platforms like AWS, GCP, Informatica-Cloud, Oracle-Cloud, and Cloud Data Warehousing platforms like Snowflake & DB. If you are interested in this opportunity and possess the required skills, kindly share your profiles on dhamma.b.bhawsagar@pwc.com. Please note that the work mode for this position is Hybrid and the locations available for this role include Bangalore, Hyderabad, Kolkata, Chennai, Pune, Gurgaon & Mumbai. As a Azure Databricks+ Ms Fabrics+ Python Data Engineer at PWC AC, you will play a crucial role in leveraging your 4-16 years of experience to contribute to the team. Your primary responsibilities will include: - Proficient with Azure Data Services, MS Fabrics, Snowflake, and Python. - Deep understanding in traditional and modern data architecture and processing concepts. - Experience in relational databases like SQL Server, MySQL, PostgreSQL, Data warehousing, big data, NoSQL, and business analytics. - Hands-on experience with Azure services such as ADLS, Data Bricks, Data Flows, HDInsight, and Azure Analysis services. - Working knowledge of Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, and Big Data model techniques using Python or Java. - Building stream-processing systems with solutions like Storm or Spark-Streaming. - Designing and implementing scalable ETL/ELT pipelines using Databricks and Apache Spark. - Familiarity with Big Data ML toolkits such as Mahout, SparkML, or H2O. - Certification in AWS Architecture is desirable. - Experience in Offshore/Onsite Engagements and AWS services like STEP & Lambda. - Project Management skills with consulting experience in Complex Program Delivery. - Knowledge in Cloud platforms like AWS, GCP, Informatica-Cloud, Oracle-Cloud, and Cloud Data Warehousing platforms like Snowflake & DB. If you are interested in this opportunity and possess the required skills, kindly share your profiles on dhamma.b.bhawsagar@pwc.com. Please note that the work mode for this position is Hybrid and the locations available for this role include Bangalore, Hyderabad, Kolkata, Chennai, Pune, Gurgaon & Mumbai.