6 Data flow Jobs in India

Position title: Business Intelligence and Data Analyst

Summary -

• Operate and continuously improve the CARS/BI backend within the global Enterprise Data and Business Intelligence platform, ensuring system stability, continuous data loading, and Warehouse the timely delivery of business-critical reports.

• Own the underlying data foundation — SQL pipelines, relational data models, and data warehouse structures — that internal reporting teams and global Data Management initiatives depend on, and act as 1st and 2nd level support for internal customers such as SCM and Sales.

• The role is needed to secure daily BI availability in the Asian time zone, reduce the risk of late or incorrect reporting, and add dedicated database and ETL capacity to the global BI team, including support to the Data Centre team on infrastructure-related issues.

Responsibilities:

• Operate, monitor, and maintain the CARS/BI data integration and data processing workflows, ensuring continuous data loading and stable daily business operations.

• Provide 1st and 2nd level support for CARS/BI, including user support, incident handling, and root-cause analysis of data issues.

• Develop, maintain, and optimise SQL-based data pipelines and transformations within the Enterprise Data Warehouse.

• Design and maintain relational data models and data warehouse structures for CARS BI.

• Integrate data from ERP and other enterprise systems into the BI backend.

• Ensure data consistency, integrity, and performance at the database level, including query tuning and database efficiency improvements.

• Administer the BI technical environment and contribute to its continuous enhancement as part of a global team.

• Support reporting teams by providing structured, reliable datasets and safeguarding the timely delivery of business-critical reports.

• Contribute to global Data Management initiatives, with a focus on Master Data Management and the development of a Common Data Model within the Business Integration Platform.

• Collaborate with the Data Centre team to resolve infrastructure-related issues affecting BI availability.

Education and Experience:

Bachelor's degree in Engineering (BE/B.Tech) or equivalent in Computer Science, Information Technology, or a comparable technical field.

Minimum 3 years of relevant professional experience in Business Intelligence, data warehousing, or database development, including hands-on SQL and ETL work in an enterprise environment.

Experience supporting business users in a global or multi-time-zone IT organisation is an advantage.

Competencies:

• Knowledge about either BI platforms (e.g. IBM Cognos BI suite) or ETL tools (e.g. Informatica PowerCenter)

• Database, data modeling and SQL (preferred Oracle PLSQL)

• Good analytical and communication skills

• Teamplayer

• English

• Strong hands-on experience with SQL (advanced level)

• Solid understanding of relational databases and data warehouse concepts

• Experience with ETL tools and database technologies (e.g., Oracle, SQL Server, SAP BW,Informatica or similar)

• Performance tuning and query optimization skills

• Structured, detail-oriented, and quality-focused working style

• Good understanding of enterprise data flows (SAP/CARS is a plus)

Key Interfaces and Stakeholders:

Only internal customers with different topics: e.g. SCM, Sales etc.

Geography to cover and Travel requirements:

Asian Time Zone, Sometimes travel is required

Behavioral Characteristics

Reliability and accountability — the role safeguards daily reporting availability, so dependable ownership of monitoring and issue follow-up is expected. Structured, analytical problem solving with the patience for thorough root-cause analysis. Service orientation and clear communication towards internal customers such as SCM and Sales. Initiative taking and self-reliance, given largely independent work in the Asian time zone. Cooperation and team spirit within a globally distributed BI team across cultures and time zones. Flexibility and resilience under time pressure, including occasional off-hours support during critical data loads. Integrity and discretion when handling confidential business data. Quality focus and attention to detail, with a continuous improvement mindset.

Interview process

2 rounds - Virtual interview and 1 round Face to Face

Any other Criteria

• Notice Period: Below 60 or 90 Days . No Negotiation on Notice Period
• Gender: Female and Male; Female preferred
• Qualification:Bachelor's degree in Engineering (BE/B.Tech) or equivalent in Computer Science, Information Technology, 

Position: SAP Fieldglass

Location: Gurugaon, Noida,Delhi, Pune location - Hybrid 

Total Experience: 9 - 12 years

Skills:

1. 9+ years of experience in documenting technical specification esp around Data Flows, Data Transformation, Source to Target Mapping.

2. Capable of proactively and independently collaborating with the functional Contingent Worker Management teams to grasp process complexities and integration needs, translating them into technical specifications. Employs a consultative method to comprehend SAP Fieldglass functionality and leverage understanding for solution development.

3. Solid written and verbal communication skills to lead and facilitate requirements and design workshops with stakeholders on projects as well as enhancement requests

Good to have:

1. Very organized individual that creates clear and comprehensive specification documents for interfaces

2. Develop and execute comprehensive work plans and test plans to ensure high quality work product prior to deployment

3. Experience in the HR domain and on a SaaS application SAP Fieldglass, Workday etc is a plus

A GCP BigQuery professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing securitygovernance Key skills include SQL Python Apache Airflow and Data modeling

Key Responsibilities

• Data Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiency
• Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc
• Query Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usage
• Data Integration Ingest transform and manage data from diverse sources into BigQuery
• Governance Security Implement data security access controls and best practices

Required Skills Qualifications

• Core Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage Dataflow
• Data Processing Experience with Apache Spark Beam or Hadoop
• Database Knowledge Strong understanding of relational RDBMS and NoSQL databases

Review Criteria

• Strong Data / ETL Test Engineer
• 5+ years of overall experience in Testing/QA
• 3+ years of hands-on end-to-end data testing/ETL testing experience, covering data extraction, transformation, loading validation, reconciliation, working across BI / Analytics / Data Warehouse / e-Governance platforms
• Must have strong understanding and hands-on exposure to Data Warehouse concepts and processes, including fact & dimension tables, data models, data flows, aggregations, and historical data handling.
• Must have experience in Data Migration Testing, including validation of completeness, correctness, reconciliation, and post-migration verification from legacy platforms to upgraded/cloud-based data platforms.
• Must have independently handled test strategy, test planning, test case design, execution, defect management, and regression cycles for ETL and BI testing
• Hands-on experience with ETL tools and SQL-based data validation is mandatory (Working knowledge or hands-on exposure to Redshift and/or Qlik will be considered sufficient)
• Must hold a Bachelor’s degree B.E./B.Tech else should have master's in M.Tech/MCA/M.Sc/MS
• Must demonstrate strong verbal and written communication skills, with the ability to work closely with business stakeholders, data teams, and QA leadership
• Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)

Preferred

• Relevant certifications such as ISTQB or Data Analytics / BI certifications (Power BI, Snowflake, AWS, etc.)

Job Specific Criteria

• CV Attachment is mandatory
• Do you have experience working on Government projects/companies, mention brief about project?
• Do you have experience working on enterprise projects/companies, mention brief about project?
• Please mention the names of 2 key projects you have worked on related to Data Warehouse / ETL / BI testing?
• Do you hold any ISTQB or Data / BI certifications (Power BI, Snowflake, AWS, etc.)?
• Do you have exposure to BI tools such as Qlik?
• Are you willing to relocate to Delhi and why (if not from Delhi)?
• Are you available for a face-to-face round?

Role & Responsibilities

• 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
• Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
• Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
• Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
• Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
• Experience of conducting test of migrated data and defining test scenarios and test cases for the same
• Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
• Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations

Ideal Candidate

• 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
• Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
• Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
• Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
• Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
• Experience of conducting test of migrated data and defining test scenarios and test cases for the same
• Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
• Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations