11254 Data Quality Jobs - Page 34

Job Accountabilities Hands on Experience in Azure Data Architecture design and Implementation Data Lake and Data Warehouse Understanding Pursuit Knowledge End to end BI Landscape knowledge Lead Role experience Good Communication Skill Understanding of Data Security and Data Compliance Agile Understanding Certification (Good to have) Domain Knowledge of Different Industry Sector

You will work on Design, develop, and optimize data pipelines and data models in Snowflake Implement and maintain DBT workflows for data transformation and modeling Write efficient and scalable SQL queries for data extraction and reporting Collaborate with data analysts, scientists, and business stakeholders to understand data requirements Integrate data from various sources using Python Orchestrate workflows using Apache Airflow or similar tools Ensure data quality, integrity, and goverce across the pipeline Work with CI/CD tools to automate deployment and testing of data workflows Optimize performance and cost of Snowflake workloads Leverage cloud services from Azure or GCP for scalable da...

Design and build data pipelines & Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust endtoend solutions Knowledge about the concepts of data lake and data warehouse Experience working with AWS big data technologies Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection Deploy and configure components to production environments Technology Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQL

Job Accountabilities Hands on Experience in Azure Data Architecture design and Implementation Data Lake and Data Warehouse Understanding Pursuit Knowledge End to end BI Landscape knowledge Lead Role experience Good Communication Skill Understanding of Data Security and Data Compliance Agile Understanding Certification (Good to have) Domain Knowledge of Different Industry Sector Mandatory skill sets Azure DE, ADB, ADF, ADL, Technology Architecture Preferred skill sets Azure DE, ADB, ADF, ADL, Technology Architecture Years of experience required 8 to 12 years Education qualification Graduate Engineer or Management Graduate

1 with minimum 3-5 years of experience and 1 with more than 5 years of exp in Data Governance and Finance services Real-life practical experience on Data Governance Process Implementation specifically for data ownership Extensive experience in DG and DQ operationalization 1. To support on business engagements for data ownership and stewardship identification with banking domain knowledge and develop end to end domain mapping, structure and CDE tagging to domains with agree and get all sign-offs from business 2. To support engagement between business and IT on domain structrure and system mapping to understand the data owned, consumed and managed within particular business areas 3. To support...

We are seeking an experienced EDM Architect with a strong background in Telco OSS to join our team The ideal candidate will be responsible for designing and implementing enterprise data management EDM solutions that integrate seamlessly with our operational support systems OSS in the telecommunications domain Key Design and Develop Create comprehensive EDM solutions tailored to Telco OSS requirements ensuring data integrity scalability and performance Integration Ensure seamless integration of EDM solutions with existing OSS infrastructure including data flow data governance and data quality management Collaboration Work closely with cross functional teams including network engineers softwar...

ETL Tester is responsible for validating the accuracy, completeness, and reliability of data as it moves through the Extract, Transform, Load (ETL) process. They ensure that data integration workflows and pipelines meet business and technical requirements through rigorous testing and quality assurance practices. ETL Testers play a critical role in maintaining data integrity in data warehousing, business intelligence, and analytics environments. Analyze business requirements and data mapping documents to design test cases for ETL processes. Develop and execute test plans, test cases, and test scripts for validating data extraction, transformation, and loading. Perform source-to-target data va...

\We are seeking a motivated and detail-oriented Data Engineer with 2 4 years of experience in Azure Data Factory and Snowflake SQL to join our growing data engineering team. You will be responsible for building, maintaining, and optimizing data pipelines and integrating data from various sources to Snowflake. The ideal candidate has hands-on experience in developing ETL/ELT processes using ADF and writing efficient Snowflake SQL queries. Key Design, develop, and maintain scalable data pipelines using Azure Data Factory. Develop and optimize SQL queries and stored procedures in Snowflake. Integrate data from a variety of sources including on-premise and cloud systems. Create and manage data f...

Experienced Informatica Cloud MDM Administrator with a strong background in setting up and managing enterprise-grade MDM platforms from the ground up. Skilled in configuring Informatica Intelligent Cloud Services (IICS), managing licensing and access, and implementing CI/CD pipelines on AWS. Adept at establishing Dev, QA, Pre Prod, and Prod environments aligned with Informaticas best practices. Familiar with integrating MDM workflows into broader data ecosystems, including Databricks Lakehouse architecture. Core MDM Platform Setup & Configuration Establish foundational MDM architecture using Informatica Cloud, including Secure Agent deployment, runtime environment setup, and metadata configu...

Data Engineer to build and manage data pipelines that support batch and streaming data solutions. The role requires expertise in creating seamless data flows across platforms like Data Lake/Lakehouse in Cloudera, Azure Databricks, Kafka for both batch and stream data pipelines etc. Strong experience in develop, test, and maintain data pipelines (batch & stream) using Cloudera, Spark, Kafka and Azure services like ADF, Cosmos DB, Databricks, NoSQL DB/ Mongo DB etc. Strong programming skills in spark, python or scala & SQL. Optimize data pipelines to improve speed, performance, and reliability, ensuring that data is available for data consumers as required. Create ETL pipelines for downstream ...

Data Quality Implementation & Monitoring (Acceldata & DemandTools) Design, develop, and implement data quality rules and checks using Acceldata to monitor data accuracy, completeness, consistency, and timeliness. Configure and utilize Acceldata to profile data, identify anomalies, and establish data quality thresholds. Investigate and resolve data quality issues identified by Acceldata, working with relevant teams for remediation. Leverage DemandTools within our Salesforce environment to identify, merge, and prevent duplicate records across Leads, Contacts, and Accounts. Implement data standardization and cleansing processes within Salesforce using DemandTools. Develop and maintain data qual...

The job holder is responsible for supporting the design, development and implementation of the Data Governance program, and specifically those relating to data quality, as part of the Data Governance Office. They are accountable for maintaining direction and ensuring alignment with business objectives with regards to how data is managed across the organisation. The job holder is also a key member of the broader data management group across the organization and is expected to play an important role in influencing and providing direction to the wider data management community Supports the DQ Lead in the development and oversight of data governance framework, standards, practices, policies and ...

Requirements: Experience in Databricks, SQL, PySpark, Spark, Python, and Azure Data Factory (ADF) Experience in designing, developing, and maintaining data pipelines and data streams Experience in moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark Experience in working with stakeholders to understand their data needs and provide solutions Experience in collaborating with other teams to ensure data quality and consistency Experience in developing and maintaining data models and data dictionaries Experience in developing and maintaining ETL processes Experience in developing and maintaining data quality checks Experience in developing and maintaining d...

We are looking for a skilled AWS Data Engineer with strong experience in building and managing cloud-based ETL pipelines using AWS Glue, Python/PySpark, and Athena, along with data warehousing expertise in Amazon Redshift. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions in a cloud-native environment. Design and implement ETL workflows using AWS Glue, Python, and PySpark. Develop and optimize queries using Amazon Athena and Redshift. Build scalable data pipelines to ingest, transform, and load data from various sources. Ensure data quality, integrity, and security across AWS services. Collaborate with data analysts, data scientists, a...

We are looking for a skilled AWS Data Engineer with strong experience in building and managing cloud-based ETL pipelines using AWS Glue, Python/PySpark, and Athena, along with data warehousing expertise in Amazon Redshift. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions in a cloud-native environment. Design and implement ETL workflows using AWS Glue, Python, and PySpark. Develop and optimize queries using Amazon Athena and Redshift. Build scalable data pipelines to ingest, transform, and load data from various sources. Ensure data quality, integrity, and security across AWS services. Collaborate with data analysts, data scientists, a...

ETL Tester is responsible for validating the accuracy, completeness, and reliability of data as it moves through the Extract, Transform, Load (ETL) process They ensure that data integration workflows and pipelines meet business and technical requirements through rigorous testing and quality assurance practices ETL Testers play a critical role in maintaining data integrity in data warehousing, business intelligence, and analytics environments. Analyze business requirements and data mapping documents to design test cases for ETL processes. Develop and execute test plans, test cases, and test scripts for validating data extraction, transformation, and loading. Perform source-to-target data vali...

Design and execute test plans and test cases for ETL processes and data flows on Cloud Validate data extraction, transformation, and loading (ETL) processes from source to target systems. Write and execute complex SQL queries to perform data validation, reconciliation, and analysis. Identify, document, and track defects and data quality issues using QA tools and processes. Collaborate with data engineers, analysts, and business users to understand data requirements and ensure complete test coverage. Perform regression, integration, and system testing on ETL workflows and jobs. Automate repetitive testing using SQL scripts, data validation tools, or test frameworks. Ensure testing is aligned ...

Key Design and develop robust ETL pipelines using Python, PySpark, and GCP services. Build and optimize data models and queries in BigQuery for analytics and reporting. Ingest, transform, and load structured and semi-structured data from various sources. Collaborate with data analysts, scientists, and business teams to understand data requirements. Ensure data quality, integrity, and security across cloud-based data platforms. Monitor and troubleshoot data workflows and performance issues. Automate data validation and transformation processes using scripting and orchestration tools. Required Skills & Qualifications Hands-on experience with Google Cloud Platform (GCP), especially BigQuery. St...

Very strong on Power BI Development and support experience Good to have OBIEE and Oracle BI Publisher hands on experience Candidates worked in PROD support would be preferred Perform data analysis troubleshoot data issues and provide technical support to end users Develop and maintain data warehouse and ETL processes ensuring data quality and integrity Complex problem solving capability and ever improvement approach Desirable to have Power BI Certification Excellent SQL coding skills Excellent communication and documentation skills Familiar with Agile delivery process Must be analytic creative and self motivated Work Effectively within a global team environment Excellent Communication skills

ETL Tester is responsible for validating the accuracy, completeness, and reliability of data as it moves through the Extract, Transform, Load (ETL) process They ensure that data integration workflows and pipelines meet business and technical requirements through rigorous testing and quality assurance practices ETL Testers play a critical role in maintaining data integrity in data warehousing, business intelligence, and analytics environments. Analyze business requirements and data mapping documents to design test cases for ETL processes. Develop and execute test plans, test cases, and test scripts for validating data extraction, transformation, and loading. Perform source-to-target data vali...

Design and develop robust ETL pipelines using Python, PySpark, and GCP services. Build and optimize data models and queries in BigQuery for analytics and reporting. Ingest, transform, and load structured and semi-structured data from various sources. Collaborate with data analysts, scientists, and business teams to understand data requirements. Ensure data quality, integrity, and security across cloud-based data platforms. Monitor and troubleshoot data workflows and performance issues. Automate data validation and transformation processes using scripting and orchestration tools. Required Skills & Qualifications Hands-on experience with Google Cloud Platform (GCP), especially BigQuery. Strong...

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake. Implement data transformation workflows using DBT (Data Build Tool). Write efficient, reusable, and reliable code in Python. Optimize and tune data solutions for performance and scalability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Stay updated with the latest industry trends and technologies in data engineering. Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or similar role. Stron...

Design, develop, and maintain scalable data pipelines using AWS services and Snowflake. Build and manage data transformation workflows using dbt. Collaborate with data analysts, data scientists, and business stakeholders to deliver clean, reliable, and well-documented datasets. Optimize Snowflake performance through clustering, partitioning, and query tuning. Implement data quality checks, testing, and documentation within dbt. Automate data workflows and integrate with CI/CD pipelines. Ensure data governance, security, and compliance across cloud platforms. Required Skills & Qualifications Strong experience with Snowflake (data modeling, performance tuning, security). Proficiency in dbt (mo...

Strong experience in Finance & Risk domain. Especially in Regulatory Reporting. Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data facts, figures, and number crunching. Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data qu...

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake. Implement data transformation workflows using DBT (Data Build Tool). Write efficient, reusable, and reliable code in Python. Optimize and tune data solutions for performance and scalability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Stay updated with the latest industry trends and technologies in data engineering. Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or similar role. Stron...