Principal Consultant

7 days ago

Bangalore City, India Genpact Full time
Skillset – Snowflake, Python, Pyspark, Azure, Unix, Scala ResponsibilitiesExpose data to end users using python, pyspark, Snowflake, Azure API Apps or other modern visualization platform or experienceAnalyze current business practices, processes and procedures and identify future opportunities for leveraging Microsoft Azure data & analytics PaaS services.Support the planning and implementation of data platform services including sizing, configuration, and needs assessmentDevSecOps and CI/CD deploymentsCloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, Event Hub etc.Experience in Data Warehousing & Snowflake Computing platformGood to have Experience working on migrating data from on premise (Hadoop, Netezza) data lake to Cloud – SnowflakeCombination of Python and Snowflakes- SnowSQL;

writing SQL queries against Snowflake.Experience working on different source data - RDBMS, Flat files, XML, JSONExpertise in SQL, especially within cloud-based data warehouses like Snowflake and AzureExpertise with SnowSQL, advanced concepts (query performance tuning, time travel etc.) and features/tools (data sharing, events, SnowPipe etc.)Experience with end to end implementation of Snowflake cloud data warehouse or end to end data warehouse implementations on-premiseProven analytical and problem-solving skillsStrong understanding of ETL concepts and work experience in any of ETL tool like Informatica, Data stage or TalendAbility to work independently and on multiple tasks/initiatives with multiple deadlinesEffective oral, presentation, and written communication skillsData modelling and data integrationShould be proficient over UNIX/shell scriptingSupport/Troubleshooting Minimum QualificationsBE/MCA/B.Tech in Computer Science, Information Systems, Engineering, related fieldsSnowflake Certification / Azure Certification is preferred/Good to haveExtensive Experience on Data Analysis Projects & Expertise in writing complex DB SQL QueriesGood Understating of Data-warehousing concepts (** Worked on Traditional Data warehouse projects, not just familiarity with any DB)Strong hands-on core python scripting exp. & Specialist in data analysis in Python (Numpy, Scipy, Matplotlib, Scikit-learn, Pandas, etc.)Solid experience in consulting or client service delivery experience on Snowflake and AzureGood experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutionsExtensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure SQL DB etc.Good hands-on experience in Azure and Big Data technologies such as, Python, SQL, ADLS/Blob, Spark/SparkSQLGood interpersonal, problem solving and verbal communication skillsPreferred QualificationsGood to have experience in numerous technologies spanning across Data Modeling, Data Warehouse Management and Database Development for different domains like Banking, Capital Markets, Insurance.Understanding of Data Life Cycle including Profiling, Mining, Migration, Quality, Integration, Master Data Management and Metadata Management Services.Microsoft Certified Azure Data Engineer and Snowflake Certified Developer. Having in depth understanding on cloud infrastructure and services like Azure Data factory, Azure Data lake, Azure Synapse, Snowflake, Azure analysis services, Azure SQL Server, Azure Blob Storage, Power BI and Power App.Ability to develop ETL pipelines in and out of data warehouse using combination of Python and Snowflakes, SnowSQLAbility and desire to learn and adapt in complex work environmentOutstanding communication and critical thinking skillsGood analytical and problem solving skills and ability to balance team and client discussions

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