Remote Reporting analyst Jobs – 150 Open Jobs Today

Data Engineer
Augusta Hitech Soft Solutions —Remote
- Remote
- Oracle
- SQL
- AWS
18h
Senior KDB developer
Luxoft —Remote
- Remote
- English
- Analysis skills
- Mentoring
Regulatory Reporting FRA Analyst
Synchrony Systems Inc —Remote
- Full-time
- Remote
- Bachelor's degree
Quick apply
12h
Finance Data Analyst
TechieMaya —Remote
- ₹4,00,000 - ₹10,00,000 a year
- Full-time
- Remote
- Microsoft Excel
- ERP systems
- AI
- Paid time off
- Cell phone reimbursement
Quick apply
17h
Data Analyst Intern
Analytics Career Connect —Remote
- Part-time
- Remote
- Data analysis skills
- SQL
- Analysis skills
Quick apply
4h
OBIEE Business Analyst
Customertimes —Remote
- ₹4,14,586.06 - ₹35,23,875.75 a year
- Full-time
- Remote
- Oracle
- Databases
- SQL
- Flexible schedule
Quick apply
1h
Senior AML Analyst
INNOVEX AI —Remote
- From ₹60,000 a month
- Full-time
- Remote
- Presentation skills
- Diploma
- Banking
- Work from home
Quick apply
3h
Email Marketing Executive
BTB VENTURES —Remote
- ₹12,000 a month
- Full-time
- Remote
- Computer Science
- B.Sc
- Research
- Work from home
Quick apply
4h
CRM Tester
Liventus —Remote
- Remote
- Computer Science
- SQL
- Analysis skills
- Health insurance
- Work from home
18h

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Export Documentation Executive
Golden Freight Forwarding & Marketing Pvt. Ltd. —Remote
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1d
HR Recruitment Intern | Work From Home
Indianman power Services pvt ltd —Remote
Source candidates for open positions. Maintain candidate records and updates. Performance evaluation is based on contribution and output.
Up to ₹25,000 a month
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Data Engineer

Augusta Hitech Soft Solutions
Remote

Apply Now

Job details

Contractual / Temporary
18 hours ago

Qualifications

Performance tuning
Cloud infrastructure
Oracle
Business intelligence
Data migration
Big data
Enterprise Software
Spark
Microsoft SQL Server
Build automation
SQL
AWS
Analysis skills
Data management
PostgreSQL
ETL
Root cause analysis
Redshift
Communication skills
Python
Master data management

Full job description

Required Skills: Data Engineering
Country: India
Role Summary:

We are looking for a skilled and experienced Data Engineer with 6+ years of expertise in designing, developing, and managing scalable data platforms and ETL pipelines.

The ideal candidate should have strong hands-on experience in AWS cloud technologies, particularly AWS Glue, Redshift, QuickSight, Python, PySpark, SQL, data integration, data migration, and large-scale data processing systems.

The candidate should be capable of developing end-to-end data engineering solutions, supporting enterprise integrations, optimizing data pipelines, and collaborating with cross-functional teams to deliver analytics and reporting solutions.

Key Roles & Responsibilities:

Data Engineering & ETL Development
- Design, develop, and maintain ETL/ELT pipelines using Python, PySpark, SQL, and AWS Glue.
- Build and support data ingestion frameworks for batch and real-time processing.
- Develop reusable and optimized data transformation solutions.
- Create workflows for structured and semi-structured datasets.
- Automate data processing and monitoring activities.
AWS Cloud & Big Data
- Develop and maintain AWS Glue jobs for data extraction, transformation, and loading.
- Design and optimize Amazon Redshift data warehouse solutions and SQL queries.
- Implement scalable cloud-based data solutions using AWS services.
- Monitor Glue jobs, Redshift clusters, and cloud infrastructure performance.
- Support AWS resource optimization and operational efficiency initiatives.
SQL & Database Management
- Develop SQL queries, stored procedures, views, and performance tuning solutions.
- Perform query optimization and database performance analysis.
- Work with enterprise databases including Redshift, SQL Server, Oracle, Snowflake, and PostgreSQL.
- Implement data validation, reconciliation, and auditing processes.
Python & PySpark Development
- Develop Python and PySpark scripts for large-scale data processing and transformation.
- Handle distributed data processing using Spark frameworks.
- Build automation scripts for data validation, reconciliation, monitoring, and migration activities.
- Troubleshoot and resolve production-level data engineering issues.
Data Migration & Integration
- Support data migration projects between enterprise systems and cloud environments.
- Perform data mapping, transformation, cleansing, and validation activities.
- Integrate multiple enterprise applications and source systems.
- Ensure data consistency and integrity across integrated systems.
Data Cleaning & Data Quality
- Develop data cleansing and standardization processes.
- Identify and resolve data quality issues, duplicates, and inconsistencies.
- Implement data quality checks across data pipelines.
- Perform root cause analysis for data discrepancies and failures.
Master Data Management (MDM)
- Support enterprise MDM processes and workflows.
- Manage customer, product, supplier, and business master data integrations.
- Implement data validation and synchronization across multiple systems.
- Collaborate with business teams to improve master data quality and governance.
Reporting & Analytics
- Develop dashboards and analytical reports using AWS QuickSight.
- Support reporting and business intelligence requirements.
- Build datasets and data models for analytics teams.
- Optimize dashboard performance and visualization capabilities.
Production Support & Troubleshooting
- Provide production support for data platform issues and integration failures.
- Monitor SLA timelines and resolve production incidents.
- Perform root cause analysis and implement preventive solutions.
- Support business users during releases and go-live activities.
Collaboration & Team Support
- Collaborate with business analysts, architects, QA teams, and stakeholders.
- Participate in architecture discussions, code reviews, and solution design activities.
- Prepare technical documentation, SOPs, and operational runbooks.
- Mentor junior engineers and support knowledge-sharing initiatives.
- Contribute to continuous improvement and best practices across the data engineering team.
Required Skills:
- 6+ years of experience in Data Engineering and ETL development.
- Strong hands-on experience with Python, PySpark, SQL, and AWS Glue.
- Experience with Amazon Redshift and cloud-based data platforms.
- Knowledge of data migration, data integration, and MDM concepts.
- Experience working with enterprise applications and large-scale integrations.
- Strong understanding of database concepts, query optimization, and performance tuning.
- Experience in AWS QuickSight or similar reporting/BI tools.
- Good problem-solving, analytical, and troubleshooting skills.
- Strong communication and collaboration abilities.

Apply Now

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reporting analyst jobs in remote

Data Engineer

Senior KDB developer

Regulatory Reporting FRA Analyst

Finance Data Analyst

Data Analyst Intern

OBIEE Business Analyst

Senior AML Analyst

Email Marketing Executive

CRM Tester

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