Snowflake ,Azure Databricks - Senior Associate Senior Associate

Years of Experience:

Position Requirements

Must Have

• 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
  

• Experience 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
• Optimize data workflows and ensure efficient data processing
• Understanding of big data use-cases and Lambda/Kappa design patterns
• Knowledge of real time/stream analytics trends.
• Architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)
• Demonstrable hands-on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services
  

• Exposure to Open-Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search
• Drive adoption and rollout of Power BI dashboards, standardizing reporting and enabling self-service BI capabilities for finance stakeholders.
• Should be well versed with quality processes and implementation
• Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
• Guide the assessment and implementation of finance data marketplaces, ensuring seamless integration across business units
• Good communication and presentation skills
  

Desired Knowledge / Skills

• 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 & DBT
  

Professional And Educational Background

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
  

Additional Information

• Travel Requirements: Travel to client locations may be required as per project requirements.
• Line of Service: Advisory
• Horizontal: Technology Consulting
• Designation: Senior Associate
• Location: Anywhere in India
• Good analytical & problem-solving skills
• Good communication and presentation skills