Implementation Engineer

Key Responsibilities

Should coordinate with Implementation Consultant to understand data ingestion

requirements and mapping specifications.

Should develop Data Review Model(DRM) datasets as per the DRM standards using OOTB

and custom functions.

Should create data mapping for Data Review Model as per Data Mapping

Specification.

Should contribute to product configuration and quality check as per the business

requirements.

Should be able to write Python/SQL Functions and automate the data transformation and

quality check activities.

Should understand and can discuss the application and implications of changes to process,

and relation to requirements.

Should understand the customer data sources and work on data ingestion strategy

Should configure OOTB data source adapters as part of data ingestion activities.

Should design and develop a solution for custom data integration as defined in the Data

Integration Specifications.

Should participate in customer discussions with Technical Solutions Architects and business

teams to understand the existing data systems and help finalize the Platform

integration strategy.

Required / Must Have Skills

5 years of experience on data integration, dealing with multiple enterprise systems.

Minimum of 3 years of hands-on experience in ETL programming.

Minimum of 2 years of hands-on experience in python programming and shell scripting.

Good understanding & knowledge of Airflow, Kubernetes and containers.

Good understanding of Data standards & Quality

Good understanding of job scheduling & pipeline monitoring process.

Strong hands-on experience in developing DRM datasets as per the DRM standards using

Python

Ability to write Python/SQL Functions and automate the data transformation and quality

check activities

Debugging of the code and able to do reverse engineering

Excellent communication skills, teamwork and ownership mindset.

Team leading experience with right guidance and mentorship

Strong analytical, problem solving, troubleshooting & debugging skills.

Good to have skills

Good understanding of one or more of the following Clinical Systems

EDC Systems such as Medidata Rave, Veeva EDC, Oracle Clinical, Medrio,

InForm, etc.,

CTMS Systems such as Siebel CTMS, Medidata CTMS,Veeva CTMS, etc.,

IRT Systems such as YPRIME, Parexel Clinphone, etc.,

LAB Systems such as central Lab, local Labs etc.,

Good understanding of clinical trial domain & overall EDC study setup & reporting

process

Knowledge of SOAP, REST API frameworks

Experience working with different file formats (parquet, csv, sas7bdat..) and knowledge of

processing of these file formats for data integration.