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Senior Data Engineering - Chryselys

Proof of Skill

Hyderabad, Telangana, IndiaFull-timePosted 3w agoStill listed 1w ago

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At a glance

Compensation
No compensation found
Location
Hyderabad, Telangana, India
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The role involves designing, building and maintaining ETL/ELT pipelines, integrating data from multiple sources, and constructing data warehouse solutions with robust data models and quality mechanisms. The candidate will perform exploratory data analysis, engage with clients, and mentor junior team members while leveraging strong technical and domain expertise in pharma data operations.

Skills & qualifications

RequiredNice to have

Skills

PysparkData WarehousingData ModelingSnowflakeDatabricksCloudwatchData ManagementData GovernanceLife SciencesProblem SolvingPythonSQLDataikuRedshiftADFAzureAWSS3GlueLambdaAthenaSFDCWaterfallAgilePharma DomainData OpsData QualityClient InteractionMentoringHigh MotivationGood Work EthicMaturitySelf-OrganizedPersonal InitiativeCollaborationWritten CommunicationVerbal CommunicationAnalytical Skills

Qualifications

Bachelor's or Master's Engineering/MCA or Equivalent Degree

Full job description

Roles & Responsibilities:

  • Majorly responsible for designing, building and maintaining ETL/ELT pipelines.

  • Integration of data from multiple sources or vendors to provide holistic insights from data.

  • Build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms.

  • Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in resolution.

  • Client interaction experience required.

  • Mentoring juniors and providing required guidance.

Required Technical Skills:

  • Extensive hands-on experience in Python, Pyspark, SQL, Dataiku.

  • Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.

  • Working knowledge in Databricks, Redshift, ADF etc.

  • Hands-on experience in cloud services like Azure, AWS - S3, Glue, Lambda, CloudWatch, Athena.

  • Sound knowledge in end-to-end Data management, Data ops, quality and data governance.

  • Familiar with SFDC, Waterfall/Agile methodology.

  • Strong domain knowledge in Pharma domain/life sciences commercial data operations.

Qualifications:

  • Bachelor or Master Engineering/MCA or equivalent degree.

  • 5-7 years of relevant industry experience as Data Engineer.

  • Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.

  • High motivation, good work ethic, maturity, self-organized and personal initiative.

  • Ability to work collaboratively and providing support to the team.

  • Excellent written and verbal communication skills.

  • Strong analytical and problem-solving skills.

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