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Senior Data Analyst - BTS Application Systems
Reads like a Data Engineer role: pipelines and data infrastructure.
Christie Digital, Unit No. S30 & S31, Lower Ground floor, Creator Building, Bengaluru, Karnataka, India
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
RemoteLocation limits apply — work setting source
Design, develop, enhance, and maintain Microsoft Fabric Data Pipelines for extracting and loading data from enterprise source systems. Build integrations with JDE, Oracle, SQL Server, and other relational data platforms to ingest data into Microsoft Fabric. Develop and maintain PySpark notebooks for data processing and transformation within the Fabric Lakehouse, primarily supporting Bronze-to-Silver processing. Develop advanced SQL queries, views, stored procedures, and transformation logic within Fabric Warehouse to support Silver-to-Gold data processing. Implement incremental loading, change-data processing, historical loads, and other appropriate ingestion patterns based on source-system requirements. Design and maintain data structures in the Fabric Lakehouse and Warehouse that support enterprise analytics and downstream Power BI semantic models. Monitor scheduled data pipelines and data loads, troubleshoot failures, identify root causes, and implement permanent solutions for recurring issues. Perform data validation and reconciliation between source systems and Fabric to ensure completeness, accuracy, and consistency. Optimize PySpark, SQL, stored procedures, pipelines, and warehouse processes for performance and scalability. Maintain existing production data pipelines and enhance them as business and technical requirements evolve. Collaborate with analysts, Power BI developers, application teams, and business stakeholders to understand data requirements and deliver trusted data for reporting and analytics. Apply data governance, security, access control, naming, and development standards across Fabric solutions. Maintain technical documentation for data pipelines, notebooks, data transformations, source-to-target mappings, dependencies, and operational support procedures Location:Remote What we’re offering A competitive salary, vacation, health & dental benefits and employer-matched pension plan. You’ll have opportunities to learn, grow, and collaborate with professionals on a global reach. Whether you’re working with the leading minds in the industry on high-profile projects, with internal teams to support continuous improvement, or with our customers to inspire and delight—your contributions will make a difference. The experience and skills we value: BE/B.Tech/Diploma in Computer Science/Data Engineering 8-10 years’ experience of relevant experience Knowledge of the organization’s JDE data structures, business processes, and system integrations, including how data from JDE, Oracle, SQL Server, and other enterprise applications is used across business functions.
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingBuild and maintain Fabric data pipelines extracting from enterprise source systems
Develop PySpark notebooks for Bronze-to-Silver processing in the Lakehouse
Write SQL views, procedures and transformations for Silver-to-Gold in the Warehouse
Monitor pipelines, troubleshoot failures and fix recurring root causes
Validate and reconcile data between source systems and Fabric
From the employer’s posting
Design, develop, enhance, and maintain Microsoft Fabric Data Pipelines for extracting and loading data from enterprise source systems.
Develop and maintain PySpark notebooks for data processing and transformation within the Fabric Lakehouse, primarily supporting Bronze-to-Silver processing.
Develop advanced SQL queries, views, stored procedures, and transformation logic within Fabric Warehouse to support Silver-to-Gold data processing.
Monitor scheduled data pipelines and data loads, troubleshoot failures, identify root causes, and implement permanent solutions for recurring issues.
Perform data validation and reconciliation between source systems and Fabric to ensure completeness, accuracy, and consistency.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Christie Digital Systems is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Oracle
- Power BI
- SQL Server
- PySpark
Where the posting names them
About the opportunity:We’re looking for a Sr. Data Analyst to join our team in India. This role is responsible for designing, developing, and supporting enterprise data engineering solutions using Microsoft Fabric. Responsibilities: Design, develop, enhance, and maintain Microsoft Fabric Data Pipelines for extracting and loading data from enterprise source systems. Build integrations with JDE, Oracle, SQL Server, and other relational data platforms to ingest data into Microsoft Fabric. Develop and maintain PySpark notebooks for data processing and transformation within the Fabric Lakehouse, primarily supporting Bronze-to-Silver processing. Develop advanced SQL queries, views, stored procedures, and transformation logic within Fabric Warehouse to support Silver-to-Gold data processing. Implement incremental loading, change-data processing, historical loads, and other appropriate ingestion patterns based on source-system requirements. Design and maintain data structures in the Fabric Lakehouse and Warehouse that support enterprise analytics and downstream Power BI semantic models. Monitor scheduled data pipelines and data loads, troubleshoot failures, identify root causes, and implement permanent solutions for recurring issues. Perform data validation and reconciliation between source systems and Fabric to ensure completeness, accuracy, and consistency. Optimize PySpark, SQL, stored procedures, pipelines, and warehouse processes for performance and scalability. Maintain existing production data pipelines and enhance them as business and technical requirements evolve. Collaborate with analysts, Power BI developers, application teams, and business stakeholders to understand data requirements and deliver trusted data for reporting and analytics. Apply data governance, security, access control, naming, and development standards across Fabric solutions. Maintain technical documentation for data pipelines, notebooks, data transformations, source-to-target mappings, dependencies, and operational support procedures Location:Remote What we’re offering A competitive salary, vacation, health & dental benefits and employer-matched pension plan. You’ll have opportunities to learn, grow, and collaborate with professionals on a global reach. Whether you’re working with the leading minds in the industry on high-profile projects, with internal teams to support continuous improvement, or with our customers to inspire and delight—your contributions will make a difference. The experience and skills we value:
Location:Remote What we’re offering A competitive salary, vacation, health & dental benefits and employer-matched pension plan. You’ll have opportunities to learn, grow, and collaborate with professionals on a global reach. Whether you’re working with the leading minds in the industry on high-profile projects, with internal teams to support continuous improvement, or with our customers to inspire and delight—your contributions will make a difference. The experience and skills we value: BE/B.Tech/Diploma in Computer Science/Data Engineering 8-10 years’ experience of relevant experience Knowledge of the organization’s JDE data structures, business processes, and system integrations, including how data from JDE, Oracle, SQL Server, and other enterprise applications is used across business functions. What will put you ahead:
What will put you ahead: Strong proficiency in SQL, including complex queries, joins, performance tuning, stored procedures, and data transformation. Hands-on experience with Microsoft Fabric, including Data Pipelines, Lakehouse, Warehouse, notebooks, and data integration capabilities. Proficiency in PySpark for large-scale data processing, cleansing, transformation, and movement across Bronze and Silver data layers. Experience designing and supporting ETL/ELT data pipelines integrating data from JDE, Oracle, SQL Server, and other enterprise data sources. Strong understanding of data lake, data warehouse, dimensional modeling, and Medallion architecture (Bronze/Silver/Gold) concepts. Ability to troubleshoot pipeline failures, data quality issues, SQL performance problems, and source-system integration issues. Experience with data reconciliation and validation techniques to ensure completeness and accuracy between source and target systems. Working knowledge of Power BI and semantic models to understand how engineered data is consumed by downstream analytics and reporting solutions
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About the opportunity:We’re looking for a Sr. Data Analyst to join our team in India. This role is responsible for designing, developing, and supporting enterprise data engineering solutions using Microsoft Fabric.
Responsibilities:
Design, develop, enhance, and maintain Microsoft Fabric Data Pipelines for extracting and loading data from enterprise source systems.
Build integrations with JDE, Oracle, SQL Server, and other relational data platforms to ingest data into Microsoft Fabric.
Develop and maintain PySpark notebooks for data processing and transformation within the Fabric Lakehouse, primarily supporting Bronze-to-Silver processing.
Develop advanced SQL queries, views, stored procedures, and transformation logic within Fabric Warehouse to support Silver-to-Gold data processing.
Implement incremental loading, change-data processing, historical loads, and other appropriate ingestion patterns based on source-system requirements.
Design and maintain data structures in the Fabric Lakehouse and Warehouse that support enterprise analytics and downstream Power BI semantic models.
Monitor scheduled data pipelines and data loads, troubleshoot failures, identify root causes, and implement permanent solutions for recurring issues.
Perform data validation and reconciliation between source systems and Fabric to ensure completeness, accuracy, and consistency.
Optimize PySpark, SQL, stored procedures, pipelines, and warehouse processes for performance and scalability.
Maintain existing production data pipelines and enhance them as business and technical requirements evolve.
Collaborate with analysts, Power BI developers, application teams, and business stakeholders to understand data requirements and deliver trusted data for reporting and analytics.
Apply data governance, security, access control, naming, and development standards across Fabric solutions.
Maintain technical documentation for data pipelines, notebooks, data transformations, source-to-target mappings, dependencies, and operational support procedures
Location:Remote
What we’re offering
A competitive salary, vacation, health & dental benefits and employer-matched pension plan.
You’ll have opportunities to learn, grow, and collaborate with professionals on a global reach. Whether you’re working with the leading minds in the industry on high-profile projects, with internal teams to support continuous improvement, or with our customers to inspire and delight—your contributions will make a difference.
The experience and skills we value:
BE/B.Tech/Diploma in Computer Science/Data Engineering
8-10 years’ experience of relevant experience
Knowledge of the organization’s JDE data structures, business processes, and system integrations, including how data from JDE, Oracle, SQL Server, and other enterprise applications is used across business functions.
What will put you ahead:
Strong proficiency in SQL, including complex queries, joins, performance tuning, stored procedures, and data transformation.
Hands-on experience with Microsoft Fabric, including Data Pipelines, Lakehouse, Warehouse, notebooks, and data integration capabilities.
Proficiency in PySpark for large-scale data processing, cleansing, transformation, and movement across Bronze and Silver data layers.
Experience designing and supporting ETL/ELT data pipelines integrating data from JDE, Oracle, SQL Server, and other enterprise data sources.
Strong understanding of data lake, data warehouse, dimensional modeling, and Medallion architecture (Bronze/Silver/Gold) concepts.
Ability to troubleshoot pipeline failures, data quality issues, SQL performance problems, and source-system integration issues.
Experience with data reconciliation and validation techniques to ensure completeness and accuracy between source and target systems.
Working knowledge of Power BI and semantic models to understand how engineered data is consumed by downstream analytics and reporting solutions
Source details
Source notes
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- Pay
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- Location & working pattern
Christie Digital, Unit No. S30 & S31, Lower Ground floor, Creator Building, Bengaluru, Karnataka, India
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- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.