Associate Data Warehouse Analyst Job at Randstad (Capital Federal)

Data Governance Analyst (Data Lake)

Join us as a Data Governance Analyst (Data Lake) at Barclays, where you will be ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data and Record governance, data controls, data lineage and associated methodologies
Experience in data products, cloud and data warehouses
Business Domain (Retail or Banking) and Regulatory reporting experience
Working in a regulated environment and solid understanding of data and control risk management
Hands of experience and knowledge around feature ETL, Data Warehousing, Big Data, Dimensional Modelling, Cloud data products
Hands-on experience on Data Lineage, Data Profiling, Data Quality Rule Implementation, Business Rules Validation, Identification of Data Errors and Produce/Publish DQ reports
Working knowledge in Change Management, Process Excellence, Project Management and functional experience in Data Analysis

Job Responsibility

Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards
Monitoring data quality and records metrics and compliance with standards across the organization
Identification and addressing of data and records management risks and gaps
Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records
Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives
Provision of Group wide guidance and training on Data and Records Management standard requirements

What we offer

Hybrid working
Flexible working arrangements
Supportive and inclusive culture and environment
Opportunity to embrace mobility and explore operations
Chance to learn from a globally diverse mix of colleagues

Fulltime

Associate Data Engineer

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

2-6 years of experience with Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience
Hands-on experience with Python for data processing, scripting, and automation
Strong working knowledge of PySpark and distributed data processing concepts
Proven hands-on experience using Databricks for data engineering, including notebooks, clusters, jobs, workflows, Delta tables, and performance optimization
Ability to build, maintain, and troubleshoot scalable ETL/ELT pipelines in Databricks
Experience working with Delta Lake and lakehouse architecture concepts
Working knowledge of SQL for querying, transforming, and validating data
Ability to work with structured and semi-structured data formats such as CSV, JSON, Parquet, and Delta
Understanding of data engineering concepts such as ETL/ELT, data pipelines, data lakes, data warehouses, batch processing, and data quality
Basic understanding of AI and machine learning concepts, including features, training datasets, model inputs/outputs, and model evaluation basics

Job Responsibility

Develop, test, and maintain data pipelines using Databricks, PySpark, and Python
Ingest, transform, and process structured and semi-structured data from multiple sources
Support the development of scalable ETL/ELT workflows for analytics, reporting, and machine learning use cases
Work with data engineers, analysts, and data scientists to understand data requirements and deliver reliable datasets
Perform data cleansing, validation, and quality checks to ensure accuracy and consistency
Optimize Spark jobs and Databricks notebooks for performance, reliability, and cost efficiency
Create and maintain documentation for data pipelines, workflows, data definitions, and processes
Assist in troubleshooting pipeline failures, data issues, and performance bottlenecks
Follow best practices for version control, code quality, testing, and deployment
Support basic AI/ML data preparation activities, including feature engineering, dataset creation, and model input preparation

Fulltime

Data Analyst Lead

Join Lam as an Operations Business Analyst, where you'll spearhead process impro...

Location

India , Bangalore

Salary:

Not provided

Lam Research

Expiration Date

Until further notice

Requirements

Minimum 7-9 years experience
Data Analysis/Statistical Analysis experience
Data Profiling experience
Expert in Database and Data warehouse tech (MS Fabric /PySpark/Azure Synapse/SQL Server/SAP HANA)
Experience with Visualization tools (Power BI)
Bachelor’s Degree: Math/Statistics/Operations Research/Computer Science
Master’s Degree: Business Analytics (with a background in Computer Science)
Data Analysis & Statistical Analysis skills
Experience in extracting information from databases
Office 365

Job Responsibility

Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements
Effectively analyzes the heterogeneous source data and writes SQL/PySpark scripts to integrate data from multiple data sources
Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making
Performs Data mining which provides actionable data in response to changing business requirements
Understands business requirements and develops dashboards to meet business needs
Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics
Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality
Owns technical implementation and documentation associated with datasets
Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality etc.)

Tech Analyst, Data & AI

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

3-5 years of experience leading enterprise data warehouse development teams
Proven success in Agile environments and cloud-based data platforms, especially Azure and Snowflake
Expertise in building robust, scalable data pipelines for batch and streaming data
Proficiency in SQL, Python, stored procedures, and scheduling tools
Hands-on experience with ETL/ELT tools such as Azure Data Factory (ADF), Databricks, Snowflake, DBT and Talend
Skilled in implementing monitoring and alerting mechanisms for data pipelines
Strong capability in reviewing engineering deliverables for performance, scalability, and maintainability
Experience with prompt engineering and leveraging Generative AI (GenAI) to accelerate development and automate engineering workflows
Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field
Excellent communication, problem-solving, and analytical skills

Job Responsibility

Design & Implementation: Manage implementation of solutions for exploratory data analysis and conducts implementation assessments based on Architecture Overview Documents (AOD) and Detailed Data Solutions
Provide accurate effort estimations and assess feasibility of proposed architectures and data models
Design, undertake and analyze data to determine patterns and insights that can optimize data ingestion and data presentation
Pipeline Design & Development: Design and develop cost-effective, scalable ELT pipelines using reusable components and frameworks
Support the delivery of AI and data projects by designing and implementing streaming and/or batch pipelines
Design and document pipeline implementation strategies including, scheduling of jobs and workflows, dependencies, error handling, monitoring and alerting and unit testing
Monitor and resolve alerts/failures in prod/non-prod environments to ensure operational reliability
Participate in peer reviews and oversee the review and approval of code and pipelines
Environment Setup & Collaboration: Set up non-production and production environments including MFT flows, RBAC, cloud services, Git repositories, and defining appropriate branching strategies
Design, test, and maintain scalable data architectures, including databases and distributed processing systems

Associate Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

64225.00 - 116083.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or other related technical field
One (1) plus year Experience in data engineering solutions such as data platforms, ingestion, data management, or analytics
One (1) plus year Experience in any cloud platform (GCP, AWS, Azure)
Excellent knowledge on SQL and Python programming
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed
Experience in tuning queries for performance and scalability
Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment

Job Responsibility

Work closely with various business, IT, Analyst and Data Science groups to collect business requirements
Work closely with Senior Data Engineers in the design & development phase and follow the CI/CD deployment pipeline
Collaborate with senior data engineers and develop optimal data solutions by applying the business logic and building objects in the semantic layer of the data warehouse
Follow the documentation standards and document the design and support strategy of all the data pipelines
Collaborate with senior data engineers to capture, store, and socialize data lineage and operational metadata
Play a crucial role in solving data pipeline issues and communicate the impact & status to stakeholders
Understand the pipeline flow, dependencies, origins and service levels of data systems to continuously improve the accuracy, timeliness, and availability of data
Performs other duties as assigned
Complies with all policies and standards

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays

Fulltime

Data Governance Analyst

Join us as a Data Governance Analyst at Barclays, where you will be responsible ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data and Record governance, data controls, data lineage and associated methodologies
Experience in data products, cloud and data warehouses
Business Domain (Retail or Banking) and Regulatory reporting experience
Working in a regulated environment and solid understanding of data and control risk management
SQL and related skill set Knowledge is required
Understanding of different technologies around the execution of data control
Ability to proactively drive change
Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders
Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls
Proficiency in data analytics and insight generation to derive actionable insights from data

Job Responsibility

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems
Documentation of data quality findings and recommendations for improvement
To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources

Fulltime

Data Governance Analyst

Join us as a Data Governance Analyst at Barclays, where you will be responsible ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data and Record governance, data controls, data lineage and associated methodologies
Experience in data products, cloud and data warehouses
Business Domain (Retail or Banking) and Regulatory reporting experience
Working in a regulated environment and solid understanding of data and control risk management
SQL and related skill set Knowledge is required
Understanding of different technologies around the execution of data control
Ability to proactively drive change
Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders
Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls
Proficiency in data analytics and insight generation to derive actionable insights from data

Job Responsibility

Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards
Monitoring data quality and records metrics and compliance with standards across the organization
Identification and addressing of data and records management risks and gaps
Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records
Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives
Provision of Group wide guidance and training on Data and Records Management standard requirements

Fulltime

Data Governance Analyst

Join us as a Data Governance Analyst at Barclays, where you will be responsible ...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data and Record governance, data controls, data lineage and associated methodologies
Experience in data products, cloud and data warehouses
Business Domain (Retail or Banking) and Regulatory reporting experience
Working in a regulated environment and solid understanding of data and control risk management
SQL and related skill set Knowledge is required
Understanding of different technologies around the execution of data control
Ability to proactively drive change
Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders
Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls
Proficiency in data analytics and insight generation to derive actionable insights from data

Job Responsibility

Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards
Monitoring data quality and records metrics and compliance with standards across the organization
Identification and addressing of data and records management risks and gaps
Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records
Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives
Provision of Group wide guidance and training on Data and Records Management standard requirements

What we offer

modern workspaces, collaborative areas, and state-of-the-art meeting rooms
wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
flexible working arrangements
hybrid working

Fulltime

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Associate Data Warehouse Analyst

Job Description

Job Responsibility

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