Business Analyst with Hadoop and Big Query Job at Realign

Business System Analyst

As a Business System Analyst for estockgifts, Crypto and Digital Currencies unit...

Location

Salary:

Not provided

Keyu Tech LLC.

Expiration Date

Until further notice

Requirements

A computer science graduate or undergraduate degree or 8+ years of industry experience in business systems analysis on big data platforms
Technical experience related to BI and/or data warehouse development
Strong working knowledge of SQL query language
Working knowledge of Hadoop, Map-Reduce, Hive, Pig, AI/ML
Ability to draw on technical background to work with both business and development teams
Experience with BI / EDW solutions in a large-scale enterprise environment, such as Teradata
Good in Analytics throughout product lifecycle – documentation, communication and systems
Ability to engage with business users and understand their needs
Problem solver and innovative thinker
Ability to work with and across teams in an agile environment. Experience in agile project development life cycle a strong plus

Job Responsibility

Collaborate with business partners to understand the business problem and translate problems into proof-of-concept products
Be the domain expert on Crypto and provide insights to senior leadership
Capture and document product requirements and partner with our engineering team to develop those products
With minimal guidance, develop a product strategy for the specific area and lead project execution
Represent the product to peers across estockgifts for feedback on new feature ideas
Facilitate technical discussion and provide feedback and input in architectural design

Fulltime

Applications Support Senior Analyst

The Applications Support Senior Analyst is responsible for providing technical a...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years' experience in an Application Support role L2 & L3
Experience installing, configuring or supporting business applications
Experience with some programming languages and willingness/ability to learn
Advanced execution capabilities and ability to adjust quickly to changes and re-prioritization
Effective written and verbal communications including ability to explain technical issues in simple terms that non-IT staff can understand
Demonstrated analytical skills
Issue tracking and reporting using tools
Knowledge/ experience of problem Management Tools
Good all-round technical skills
Effectively share information with other support team members and with other technology teams

Job Responsibility

Provide Level 2/3 support for business applications, troubleshooting technical and functional issues
Monitor daily Autosys job executions, system performance, ensuring uptime and reliability
Investigate and diagnose production issues in a timely manner to provide root cause analysis and solutions to prevent future issues
Collaborate with cross-functional teams to identify and resolve production issues
Create and maintain documentation related to production issues and resolutions
Coordinate with development and release management teams to ensure smooth deployment of sprint releases with minimal business interruptions
Coordinate with development, release management and business teams to during the UAT Testing phase of the sprint
Coordinate with SA and EAP teams on the System updates, green zones and COB activities
Monitor and Manage Inbound and Outbound feed SLA breaches
Provide timely updates on system performance and issue status to senior management

What we offer

Global Benefits
We bring the best to our people
We put our employees first and provide the best-in-class benefits they need to be well, live well and save well

Fulltime

Senior Data Analyst, Finance

Our analysts transform data into meaningful insights that drive strategic decisi...

Location

United States , Wayne; Southfield; Philadelphia; Englewood

Salary:

81917.17 - 128726.98 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements
Determines relevancy of data and identifies alternative data sources as needed
Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools
Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS
Combines data as needed from disparate data sources to complete analysis
Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing
Develops forecasting models to predict sales, demand and other key business metrics
Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement
Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers
Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork

Job Responsibility

Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements
Determines relevancy of data and identifies alternative data sources as needed
Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools
Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS
Combines data as needed from disparate data sources to complete analysis
Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing
Develops forecasting models to predict sales, demand and other key business metrics
Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement
Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers
Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork

What we offer

Paid Time off
Physical Wellbeing benefits
Financial Wellbeing benefits
Emotional Wellbeing benefits
Life Events + Family Support benefits

Fulltime

Big Data / PySpark Engineering Lead - Vice President

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Highly experienced and skilled technical lead with 12+years of experience with software building and platform engineering
Experience in Data Engineering, focused on Big Data ecosystems
Knowledge in Hadoop, YARN, Hive, Impala, Spark, and Spark SQL with extensive high volume of data processing pipeline development
Programming Expert level and hand on experience in Python
Familiarity with data formats like Avro, Parquet, CSV, JSON
Hands-on experience in writing SQL queries
Highly experienced with Unix based operating systems and shell scripting
Experience with source code management tools such as Bitbucket, Git etc
Big Data Tech Proficiency and hands-on in Hadoop, Spark, Hive, Kafka, and NoSQL databases (MongoDB, HBase)
Experience working with query engines like Trino, Presto, Starburst

Job Responsibility

Design and implement scalable, fault-tolerant batch and real-time data processing pipelines
Develop robust data models and schema designs optimized for both performance and storage efficiency
Evaluate and integrate emerging tools and frameworks (e.g., Spark, Flink, Kafka) into the existing stack
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Legacy Systems Decommissioning: Lead the strategic migration of data and logic from legacy platforms (e.g. on-premises SQL Servers) to a modern Data Lakehouse environment
ETL/ELT Transformation: Re-engineer existing stored procedures and complex legacy ETL jobs into scalable, distributed processing frameworks using Spark (Python) and Starburst/Trino
Validation & Parity Testing: Design and implement automated frameworks for Data Parity Testing to ensure 100% accuracy and consistency between legacy outputs and new big data results
Schema Evolution: Map and transform rigid, legacy relational schemas into flexible, high-performance formats optimized for the cloud (e.g., Parquet, Avro, or Iceberg)
Phased Cutover Management: Orchestrate a phased migration strategy (Parallel Run, Shadow Execution) to ensure zero downtime for downstream business applications and reporting tools

Fulltime

REFM Analyst

The hired candidate will partner with multiple departments, including Global Rea...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Math, Economics, etc.)
Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
3 plus years for Senior REFM Analyst
Relevant working experience in a data advanced analytics, Power BI dashboard development role
Delivery Excellence
Business disposition
Social intelligence
Innovation and agility
Functional Analytics (Real Estate, Property Management, Facilities, Maintenance, etc.)
Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

Job Responsibility

Design & develop reports and dashboards to meet the needs of the Real Estate and Facilities Management team
Create comprehensive reporting on periodic, quarterly basis to create actionable insights
Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data
Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses
Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
Articulate complex data to business teams and present the insights in easily understandable and innovative formats

Fulltime

Contract Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client’s data and...

Location

United States , Nashville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python (or similar languages)
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.)
Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus
Strong understanding of data modeling, performance tuning, and pipeline optimization
Experience with version control systems (Git) and agile development practices
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources
Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs
Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions
Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required
Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency
Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability
Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions
Maintain detailed documentation for pipelines, data flows, and system architecture

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Data Engineer

Location

Vietnam , Hà Nội

Salary:

Not provided

CMC Global Company Limited.

Expiration Date

Until further notice

Requirements

Data Engineer with strong Hadoop / Spark / Talend experience
Experience building and operating large-scale data lakes and data warehouses
Experience with Hadoop ecosystem and big data tools, including Spark and Kafka
Experience with Master Data Management (MDM) tools and platforms such as Informatica MDM, Talend Data Catalog, Semarchy xDM, IBM PIM & IKC, or Profisee
Familiarity with MDM processes such as golden record creation, survivorship, reconciliation, enrichment, and quality
Experience in data governance, including data quality management, data profiling, data remediation, and automated data lineage
Experience with stream-processing systems including Spark-Streaming
Experience working with Cloud services using one or more Cloud providers such as Azure, GCP, or AWS
Experience with Delta Lake and Databricks
Advanced working experience with relational SQL and NoSQL databases, including Hive, HBase, and Postgres

Job Responsibility

Create and manage a single master record for each business entity, ensuring data consistency, accuracy, and reliability
Implement data governance processes, including data quality management, data profiling, data remediation, and automated data lineage
Create and maintain multiple robust and high-performance data processing pipelines within Cloud, Private Data Centre, and Hybrid data ecosystems
Assemble large, complex data sets from a wide variety of data sources
Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts, and Business users to derive actionable insights and reliable foresights into customer acquisition, operational efficiency, and other key business performance metrics
Develop, deploy, and maintain multiple microservices, REST APIs, and reporting services
Design and implement internal processes to automate manual workflows, optimize data delivery, and re-design infrastructure for greater scalability
Establish expertise in designing, analyzing, and troubleshooting large-scale distributed systems
Support and work with cross-functional teams in a dynamic environment

What we offer

Attractive compensation package: 14-month salary scheme plus annual bonus and additional allowances
Annual bonus package tailored based on performance and contribution
Young, open, and dynamic working environment that promotes innovation and creativity
Ongoing learning and development with regular professional training and opportunities to enhance both technical and soft skills
Exposure to cutting-edge technologies and diverse real-world enterprise projects
Vibrant company culture with regular team-building activities, sports tournaments, arts events, Family Day, and more
Full compliance with Vietnamese labor laws, plus additional internal perks such as annual company trips, special holidays, and other corporate benefits

Fulltime

Analyst-Data Science

At American Express, our culture is built on a 175-year history of innovation, s...

Location

India , Bengaluru Urban

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

Strong quantitative, analytical, and structured problem-solving skills
Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization
Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families - Decision Trees, Boosting algorithms, optimizations considerations for ML models, deployment and serving challenges
Knowledge of Google Cloud Platform (GCP), Big Query, GCP AI / ML capabilities such as Vertex AI
Knowledge of Big Data Platforms such as Hadoop and PySpark
Knowledge of designing and building big data tools and frameworks
Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies
Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented, opinionated engineering, UX and QA teams
Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow

Job Responsibility

Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes
Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives
Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions
Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development
Translate product roadmap into well-defined requirements and acceptance test criteria
Drive end-to-end ML / AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams
Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize products to drive Amex wide user adoption
(For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users
Create POCs for best-in-class AI-ML innovative products with the potential to scale

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Business Analyst with Hadoop and Big Query

Realign

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

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