Data Quality Engineer

People Prime Worldwide

Website: people-prime.com
Job details:

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia

.

Job descripti

onJob Title: Data Quality Engine

erExperience:8-12 Yea

rsJob Type: Contract to Hi

reNotice Period: Immediate Joine

rs

Job Descripti

on:

Skills : Data Quality , DBT , Data Governance , Python &

SQL

Data Quality Implementation & Monitoring (Acceldata & DemandTo

ols):Design, develop, and implement data quality rules and checks using Acceldata to monitor data accuracy, completeness, consistency, and timeli

ness.Configure and utilize Acceldata to profile data, identify anomalies, and establish data quality thresh

olds.Investigate and resolve data quality issues identified by Acceldata, working with relevant teams for remedia

tion.Leverage DemandTools within our Salesforce environment to identify, merge, and prevent duplicate records across Leads, Contacts, and Acco

unts.Implement data standardization and cleansing processes within Salesforce using DemandT

ools.Develop and maintain data quality dashboards and reports using Acceldata to provide visibility into data he

alth.Data Onboarding & Integration Qua

lity:Collaborate with engineers and platform teams to understand data sources and pipelines built using Fivetran / ingestion

tool.Ensure data transformations within Fivetran to maintain data integrity and qua

lity.Develop and execute test plans and test cases to validate the successful and accurate onboarding of data into our snowflake environ

ment.Metadata Management & Data Govern

ance:Work with the Atlan platform to understand and contribute to the establishment of a comprehensive data cat

alog.Assist in defining and implementing data governance policies and standards within A

tlan.Validate the accuracy and completeness of metadata within Atlan to ensure data discoverability and understan

ding.Collaborate on data lineage tracking and impact analysis using A

tlan.Collaboration & Communica

tion:Work closely with data engineers, platform team, data analysts, business stakeholders, and Salesforce administra

tors.Clearly communicate data quality findings, risks, and remediation s

teps.Participate in data governance meetings and contribute to the development of data quality best pract

ices.Document data quality rules, processes, and monitoring proced

ures.Required Skills & Experi

ence:Proven experience (e.g., 3+ years) as a Data Quality Engineer or similar

role.Hands-on experience with Fivetran / data ingestion application for data integration and understanding its data transformation capabili

ties.Familiarity with Atlan or other modern data catalog and metadata management t

ools.Strong practical experience with Acceldata or similar data quality monitoring and observability platf

orms.Familiarity in using DemandTools for data quality management within Salesf

orce.Solid understanding of data quality principles, methodologies, and best pract

ices.Strong SQL skills for data querying and anal

ysis.Experience with data profiling and data analysis techni

ques.Excellent analytical, problem-solving, and troubleshooting sk

ills.Strong communication and collaboration sk

ills.Ability to work independently and manage tasks effectively in a remote environ

ment.Preferred Skills & Experi

ence:Experience with other data quality tools or framew

orks.Knowledge of data warehousing concepts and technData Quality Engineologies (e.g., Snowflake, BigQu

ery).Experience with scripting languages like Python for data manipulation and automa

tion.Familiarity with Salesforce data model and administra

tion.

Click on Apply to know more.