Data Warehousing Engineer

Position: Data Engineer(IDMC/ PowerCenter)

Location: Pune

Experience: Min 6+Years

Specific Requirements:

• Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas
• Hands on experience in PowerCenter Developer/IDMC Data Integration
• Experience in DW Production Support / troubleshooting data or pipeline issues
• Developing complex SQL queries and SQL optimization
• Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture.
• Designing and implementing data security
• Monitoring and optimizing data storage and data processing
• Use of Object function/object-oriented scripting languages including Scala, C++, Java and Python
• Cloud data warehouse and data lake platforms (e.G., Snowflake, Databricks, Redshift, BigQuery, MS Synapse, MS ADLS, Apache Haddop, etc.)
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Understanding of data science concepts
• Familiarity with AI/ML frameworks and libraries

Business Competencies

- Developing data services that are fit for purpose, resilient, scalable, and future proof, to meet user needs

- Advanced SQL knowledge and experience working with relational databases and working familiarity with various databases.

- Demonstrated understanding and experience using software and tools including ETL, relational SQL and NoSQL databases, big data tools like Kafka, Spark, and Hadoop

- Experience building and optimizing ‘big data’ data pipelines, architecture, and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience and knowledge of project management best practices and agile software development methodologies

- A successful history of manipulating, processing, and extracting value from large, disconnected datasets.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Strong project management and organizational skills.

- Experience supporting and working with cross-functional teams in a dynamic environment.

- Understanding of data science concepts

- Familiarity with AI/ML frameworks and libraries