Axiom Technical Analyst

Role Overview

We are seeking a skilled Senior Data Analyst with substantial hands-on experience in Source System Analysis, data mapping, data modeling, SQL analysis, and integration testing. The ideal candidate will support seamless data flow across business applications, ensure data accuracy, and contribute to system improvements.

Key Responsibilities

• Conduct detailed data mapping between source and target systems, ensuring consistency and accuracy.
• Build and maintain data models to support business processes, reporting needs, and integration workflows.
• Write and optimize SQL queries for data validation, analysis, migration, and troubleshooting.
• Work closely with cross-functional teams to gather data requirements and understand business logic.
• Develop and execute integration test plans, including functional, data validation, and regression testing.
• Support data migration activities, including extraction, transformation, and loading (ETL).
• Monitor and troubleshoot integration issues, ensuring timely resolution.
• Document integration flows, data dictionaries, mapping catalogs, and knowledge artifacts.
• Ensure integration security, data integrity, and compliance with organizational standards.

Required Skills & Qualifications

• 5+ years of experience insource system integrations, data mapping, and system-to-system data workflows.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Hands-on experience with data mapping, data modelling, and database schema design.
• Proficiency in SQL (complex joins, stored procedures, performance tuning).
• Experience with ETL tools or integration platforms (Informatica, Boomi, MuleSoft, Talend, Pentaho).
• Strong analytical and problem-solving skills.
• Experience with API-based integrations (REST/SOAP) is a plus.
• Familiarity with testing methodologies for integrations and data validation.
• Ability to work with business users, understand workflows, and translate requirements into technical solutions.

Preferred Qualifications

• Experience with cloud ERP or cloud integration (AWS/Azure/GCP).
• Knowledge of JSON, XML, CSV transformation.
• Exposure to scripting languages (Python, Shell).
• Experience in Agile/Scrum environments.
• Prior involvement in ERP implementation or upgrade projects.

Competencies

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

Job Description:

We are looking for an experienced Ab Initio Developer to join our team. The candidate will be responsible for developing, enhancing, and maintaining data integration and ETL solutions using Ab Initio.

Roles & Responsibilities:

• Develop and maintain ETL workflows using Ab Initio.
• Design and develop data integration solutions based on business requirements.
• Work with Ab Initio GDE, Co>Operating System, and related components.
• Develop and optimize graphs, plans, and batch processes.
• Write and optimize SQL queries for data processing.
• Perform data validation, debugging, and issue resolution.
• Analyze and improve the performance of existing ETL processes.
• Work with business and technical teams to understand requirements.
• Support production deployments and troubleshoot data-related issues.
• Follow coding, testing, and documentation standards.

Required Skills:

• 5–8 years of experience in Ab Initio Development.
• Strong experience in Ab Initio ETL/Data Integration.
• Hands-on experience with Ab Initio GDE and Co>Operating System.
• Good knowledge of SQL and database concepts.
• Experience in ETL development, debugging, and performance tuning.
• Good communication and problem-solving skills.

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the Role

We are looking for an experienced Senior SQL Server / SSIS Engineer to design, develop, maintain and optimise database solutions and ETL workflows.

The ideal candidate should have strong hands-on experience with Microsoft SQL Server, SSIS package development, T-SQL programming, database performance tuning and data migration.

You should be comfortable working with existing database systems, troubleshooting complex issues, improving performance and ensuring data integrity, security and availability.

Key Responsibilities

• Design, develop and maintain SQL Server databases, database objects and logical data models.
• Develop, deploy and maintain SSIS packages for ETL processes and data integration.
• Build and optimise complex SQL queries, stored procedures, functions, views and triggers.
• Design and implement data extraction, transformation and loading workflows across multiple systems.
• Perform database migrations, data transformations and validation activities.
• Monitor and troubleshoot SQL Server databases, SSIS packages and SQL Server Agent jobs.
• Identify and resolve performance bottlenecks through query optimisation, indexing and execution plan analysis.
• Handle database administration activities, including upgrades, backups, recovery and maintenance.
• Ensure database performance, security, availability and data integrity.
• Troubleshoot database locking, blocking and resource utilisation issues.
• Collaborate with developers, QA engineers and other stakeholders to understand database requirements.
• Maintain technical documentation for database structures, ETL workflows and processes.
• Provide production support and proactively identify opportunities to improve database performance and reliability.

Who Are We Looking For?

• 6–10 years of experience in SQL Server development and database engineering.
• Strong hands-on experience with Microsoft SQL Server, preferably SQL Server 2016/2017 or above.
• Hands-on experience in developing, deploying and maintaining SSIS packages.
• Strong understanding of ETL processes, data integration and data migration.
• Advanced knowledge of T-SQL, stored procedures, functions, views and triggers.
• Experience in database performance tuning, query optimisation, indexing and execution plans.
• Experience in SQL Server monitoring, troubleshooting and resolving database performance issues.
• Good understanding of SQL Server Agent jobs, database backups, recovery and maintenance.
• Experience resolving database locking conflicts, blocking and resource utilisation issues.
• Knowledge of SQL Server system tables and Dynamic Management Views (DMVs).
• Experience with PowerShell scripting and automation is preferred.
• Exposure to AWS RDS, Azure SQL or other cloud database environments is an advantage.
• Knowledge of PostgreSQL or NoSQL databases is a plus.
• Experience leading or mentoring junior developers is preferred.
• Bachelor's or Master's degree in Computer Science, Software Engineering, IT or a related field.
• Excellent analytical, logical, troubleshooting and communication skills.

Good to Have

• Experience with SSRS or SSAS.
• Knowledge of AWS RDS or Azure SQL.
• Experience with PowerShell scripting.
• Exposure to PostgreSQL or NoSQL databases.
• Relevant Microsoft SQL Server certifications.

Why Navtech?

• Performance reviews and appraisals twice a year.
• Competitive compensation package with additional bonuses and benefits.
• Opportunities to work with renowned clients across the US, UK and Europe.
• Medical insurance coverage for self and immediate family.
• Opportunity to work with a culturally diverse and collaborative team.
• Opportunities for continuous learning and technical growth.

Job Title: Senior Data Analyst

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Department: MDO

Reporting To: COO

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

mprovement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

● Vlook

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Shift: Second Shift (2:00 PM – 10:00 PM)

Joining: Immediate

About the Role

We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.

The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.

This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.

Key Responsibilities

SQL Development & Performance Optimization

• Develop complex SQL queries, stored procedures, and data transformation logic.
• Optimize SQL queries for performance, scalability, and efficiency.
• Perform advanced data analysis, validation, and reconciliation.
• Troubleshoot complex SQL and data-related issues.

ETL Development & Data Integration

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Work with SQL and Python for data extraction, transformation, and loading.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify and resolve data pipeline failures and integration issues.

Data Warehousing & Data Modeling

• Design and maintain data warehouse architectures.
• Develop data warehouse schemas based on business requirements.
• Work on dimensional data modeling, including Facts and Dimensions.
• Implement Slowly Changing Dimensions (SCD).
• Support data analysis and business information reconciliation.

Snowflake & AWS

• Develop and manage data solutions using Snowflake.
• Work with AWS services, particularly Amazon S3.
• Manage AWS connections and data access configurations.
• Build and maintain cloud-based data integration solutions.

Python & Apache Airflow

• Develop data processing and automation solutions using Python.
• Build, schedule, and monitor workflows using Apache Airflow.
• Troubleshoot workflow failures and improve pipeline reliability.

Agile & Development Lifecycle

• Participate in Agile development processes, sprint planning, and team discussions.
• Contribute throughout all stages of the software development lifecycle.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Perform root cause analysis and implement appropriate corrective actions.

Required Skills

• Advanced SQL – Strong hands-on expertise is mandatory.
• Python Development
• ETL Development and Data Integration
• Snowflake
• Apache Airflow
• AWS Services, particularly Amazon S3
• AWS Connection Management
• Data Warehouse Architecture
• Data Modeling (Facts & Dimensions)
• Slowly Changing Dimensions (SCD)
• SQL Query Optimization and Performance Tuning
• Data Analysis and Reconciliation
• Troubleshooting and Root Cause Analysis
• Agile Development Methodologies
• Strong understanding of the Software Development Life Cycle (SDLC)

Experience & Qualifications

• 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
• Strong professional experience in advanced SQL and Python.
• Hands-on experience with Snowflake, Apache Airflow, and AWS.
• Proven experience designing and developing data warehouse solutions.
• Experience working across the complete product development lifecycle.
• Ability to independently troubleshoot complex technical challenges.

Additional Requirements

• Immediate joiners preferred.
• Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
• Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in an Agile environment.

We are looking for Data engineer with strong expertise in Data warehousing to join our team.

Key skills : ab initio, ssis , Informatica, Hadoop and Teradata

Business Intelligence Analyst - 2

Planview is the world leader in enterprise software planning for enterprise-wide deployment strategies, processes and resources. More than 4000 customers, among the world's largest and most respected companies, have successfully implemented Planview software to optimize their enterprise portfolio management, project, portfolio and resource management, business intelligence and expense tracking processes. We have had stable, organic growth for years and now need reinforcement.

Job Summary:

The Planview BI Team is seeking an experienced Business Intelligence Analyst – 2 to support, troubleshoot, optimize, and enhance business intelligence and reporting solutions built on Planview products.

This role focuses on advanced BI support across Power BI, Microsoft Fabric, SQL Server, SSAS, SSRS, OData, Dataflows, Data Pipelines, Data warehousing, and Data models. The BI Analyst – 2 will handle complex technical issues, perform advanced root-cause analysis and performance tuning, and work closely with customers and internal teams to deliver scalable BI solutions.

Key Responsibilities:

· Troubleshoot and resolve complex issues involving data accuracy, refresh failures, report behavior, connectivity, security, and performance across Power BI, SSRS, SSAS, SQL Server, OData, and Data warehousing layers.

· Perform advanced T-SQL development and performance tuning, including execution plans, indexing, query optimization, stored procedures, views, and complex queries.

· Support, develop, maintain, and optimize Power BI semantic models, DAX measures, Power Query, datasets, workspaces, gateways, refreshes, and Row-Level Security.

· Support and troubleshoot SSAS Tabular and Multidimensional models, including processing, calculations, relationships, security, and performance.

· Develop and troubleshoot advanced SSRS/paginated reports, including parameters, subreports, drill-through, expressions, pagination, subscriptions, and export formats.

· Support Microsoft Fabric solutions including Data Pipelines, Dataflows Gen2, Lakehouse/Warehouse, semantic models, and Power BI integration.

· Troubleshoot ETL/ELT processes, data pipelines, Dataflows, refresh failures, and data transformation issues across BI environments.

· Analyze and troubleshoot OData feeds, including filtering, pagination, refresh, connectivity, and large-volume data scenarios.

· Support Planview Automart, Datamart, and data warehouse implementations and ensure data consistency across source, warehouse, semantic, and reporting layers.

· Perform end-to-end root-cause analysis and performance optimization across the BI technology stack.

· Collaborate with customers, Product, Engineering, Hosting, and Support teams on complex technical issues and escalations.

· Provide technical guidance and mentoring to BI Analyst – 1 team members and contribute to BI best practices and documentation.

Required Skills & Qualifications:

·      5+ years of professional experience in Business Intelligence Development, BI Support, Data Analytics, or a related field.

·      Strong hands-on experience with Power BI, DAX, Power Query, and enterprise data modeling.

·      Advanced knowledge of SQL Server and T-SQL, including query optimization and performance tuning.

·      Strong experience with SSRS and enterprise reporting.

·      Experience with SSAS Tabular and/or Multidimensional models.

·      Experience with Microsoft Fabric, particularly Data Pipelines, Dataflows, Lakehouse/Warehouse, and Power BI.

·      Experience working with OData and enterprise data integration.

·      Strong understanding of Data Warehousing, Datamarts, Automart, ETL/ELT, and data modeling.

·      Experience troubleshooting Power BI Service, gateways, refreshes, security, and semantic models.

·      Strong analytical, troubleshooting, and root-cause analysis skills.

·      Proven ability to work directly with customers and communicate technical concepts to both technical and non-technical stakeholders.

·      Experience with tools such as DAX Studio, Tabular Editor, Performance Analyzer, Query Store, or SQL Profiler is an advantage.

• Relevant Microsoft certifications such as PL-300, DP-600, or DP-203 are an added advantage.

Data Engineer Short Hiring Post

🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets

2

Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.

3

Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis

4

Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.

5

Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows

6

Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation

7

Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.

8

Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.

9

Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture

10

Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.

11

Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.

12

Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

13

Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

Immediate Joining

We are looking for a Dedicated Resource on Contract for –

Role: Data Engineer

Experience: 5+ Years

Location: Remote

Duration: 3+ Months

Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.

Good knowledge of AI tools such as Claude.

Experience with ETL tools like Alteryx is good to have.

Power BI experience is good to have.

Strong communication skills.