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Snowflake Data Engineer

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Sany, India Agilite Global Solutions Company Full time
Role: SnowflakesDataEngineerLocation:India Remote Work from Anywhere inIndiaMinimum Qualification:Bachelors degree or higher in thetechnologyfield.IndicativeExperience: 3YearsDomain: USHealthCare.Customer Profile:Captive research and development pods for a 500millionmember group of pharma data research companies that helppatients gain access to lifesaving therapies. We help our clientsnavigate the complexities at each step of the drug development lifecycle from pipeline topatient.Other benefits:Health Insurance Provident Fund Life InsuranceReimbursement of Certification Expenses Gratuity 24x7 HealthDesk
Aboutthe CompanyWe areheadquartered in Pittsburgh USA with locations across the globe. Weare a team of thoughtful experts driven by the power of our clientsunique ideas. We also have micro offices in Hyderabad ChennaiBengaluru and Delhi NCR in India.Whiletechnical expertise is ingrained in Agilites DNA we are more thanjust engineers and developers; we are trusted product strategists.We pride ourselves on being a ready resource for critical marketinsights with the knowledge and experience required to design buildand scale big ideas to serve our growing list of customers in theUSA and Europe.Our preferred working modelis working from anywhere. In addition you can also decide on yourwork schedule. All we need is the outcome. Our peoplecentricculture is built on the belief that extraordinary employees createamazing things. Work with us and attain your Ikigai in a placewhere your aspirations and business objectivesintersect.
KeyRoles and Responsibilities:As a Data Engineer ensure that data is cleansed mappedtransformed and otherwise optimized for storage and use accordingto business and technicalrequirementsDevelop and maintain innovative DataSolutions Able toautomate tasks (reusability of code) and deploy production standardcode (with unit testing continuous integration versioningetc.) Loadtransformed data into storage and reporting structures indestinations including data warehouse highspeed indexes realtimereporting systems and analyticsapplications Builddata pipelines to collectively bring datatogether Otherresponsibilities include extracting data troubleshooting andmaintaining the data warehouseUse best practice coding standards enhance and adapt tonew standards as seen fit in a fastpaced and agileenvironment. Worksin a team environment that includes collaborating with ProductOwners Stakeholders and Software engineers. Ability to Mentorinterns and new hires to help them get up to speed while performingtheir own responsibilities. Optionally having the ability to become a Data leaderand enable Dataculture.
KeyRequirementsBachelors degree or higher in the technologyfield. 37 years ofexperience in the space of data engineering. At least 24 yearsof experience with SnowflakeData warehouse is amust.o Recentproject work should include usage and deploying production code toSnowflake. Out of touch in Snowflake is not preferred orrecommended. Atleast 24 years of experience with Pythondevelopment is amust.o Experiencewith pyspark snowpark apiswould be aplus.o Experiencewith basics of data frames and how to around managing datatransformations and using custom sdk s on top of dataframes wouldbe a plus.o Abilityto write unit tests using pytests or spark testing base would be aplus. Experience inthe following areas with Snowflake as datastore would bepreferred:oManaging Data modeling usingLiquibaseo Managing Datapipelines via SnowSQL /SnowPipeoOrchestrating data pipelines within Snowflake oroutside of Snowflake.oExperience with using/coding data quality frameworkslike Soad/Great Expectationsetc.o Experiencewith using AirFlow /AWS Stepfunctions/ Glue / Spark would be preferred and aplus. Experience inone or more below:oStrong in SQL SQL AnalyticsELT/ETL ing and Datawarehousing.oExperience with SSIS (nice tohave)o Experiencewith Azure Synapse / ADF / Cloud ETL tool.(nice tohave) Experiencewith Code Repository CI/CD test driven development is preferred.o Creating UnitTesting and Automated integration tests is strongly preferred. Experience withmulticloud AWS/Azure/GCP cloud is a plus. Azure is required/Otherspreferred.Experience in handling big data at PB scale(preferred) Dataprocessing experience at scale generating and consuming largefeeds. Experiencewith other cloud data warehouses like Redshift/Azure SQLWH etc.(nice to have).Experience with data governance programs and dataoffices would be aplus.Exposure toclaims payer formulary RWE EHR/ EMR ORlife science Healthcare data is recommended and would be aplus.

dataframes,ssis,code repository,data engineering,ci/cd,big dataprocessing,custom sdks,aws stepfunctions,data governance,pythondevelopment,sql,snowpipe,snowflake data warehouse,pyspark,unittests,elt/etl,azure data factory,multi-cloud experience,spark,azuresynapse,liquibase,python,airflow,awsglue,snowflake,snowsql,extract, transform, load (etl),snowparkapis