Datawarehouse Developer

We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.

Qualifications and Skills:

• Minimum 5 years of experience as a Data Engineer
• Hands-on experience with Azure cloud-based data solutions
• Expertise in database design and management, including SQL databases such as SQL Server
• Proficient in ETL (Extract, Transform, Load) design for data integration and processing
• Strong knowledge of data modeling principles and techniques
• Ability to analyze and translate data into actionable insights, reports, and visualizations
• Proficiency in Power BI for reporting and data visualization

Desirable Skills:

• Experience with Power BI Report Builder / Reporting Services
• Knowledge of statistical analysis or Data Science
• Experience within the UK Insurance industry is a plus
• Python or R coding skills

Responsibilities:

• Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
• Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
• Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
• Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
• Implement different methods of streaming data and create reconciliations for datasets
• Build analytical models to support reporting and analytics
• Collaborate with an agile delivery team to work on the backlog of specified work

Job Summary – Axiom Technical Analyst

🔹 Experience: 5+ Years

🔹 Skill Set: Axiom + SQL + ETL

🔹 Locations: Bangalore / Hyderabad

🔹 Notice Period: Immediate to 15 Days Joiners Preferred

Required Skills:

🔹 Strong hands-on experience in Axiom

🔹 Good knowledge of SQL and database concepts

🔹 Hands-on experience with ETL processes

🔹 Experience in data extraction, transformation, and loading

🔹 Good understanding of data integration and data processing

🔹 Experience in developing, maintaining, and troubleshooting data workflows

🔹 Strong analytical and problem-solving skills

🔹 Good communication and collaboration skills

🔹 Ability to troubleshoot technical issues and support application/data processes

🔹 Understanding of SDLC and Agile methodologies

Job Title: Senior Data Engineer

Position Summary

We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.

Key Responsibilities

• Design, develop, and maintain reporting infrastructure and data platforms.
• Build and optimize complex SQL queries, data models, and reporting datasets.
• Develop scalable ETL/ELT pipelines and data integration processes.
• Design and maintain database schemas to support analytics and reporting requirements.
• Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
• Implement data quality, governance, and performance best practices.
• Support and enhance enterprise reporting solutions and dashboards.
• Work with large-scale datasets in cloud data warehouse environments.
• Troubleshoot reporting issues and optimize database performance.
• Partner with engineering and product teams to establish sustainable data architecture.

Must Have: Technical Skills

• PostgreSQL
• Snowflake
• Advanced SQL
• Data Modeling
• Data Warehousing
• Reporting & Analytics Infrastructure
• ETL/ELT Development
• Query Performance Tuning

Success Profile:

The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.

Experience Range: 5-10 years

Role Type: Individual Contributor / Senior Engineer

Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.

Location: Hyderabad / Chennai

Experience: 5+ years

Employment type: Full-time, permanent

Work Hours: General Shift

website: www.amazech.com

Qualifications: 

• B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Data Science, or related disciplines.
• Strong academic background with relevant industry experience in Data Engineering and Data Warehousing.

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

🚨 Hiring: MicroStrategy Developer

We are looking for an experienced MicroStrategy Developer for a 6-month contract opportunity.

📌 Role: MicroStrategy Developer

💼 Experience: 5+ Years

📍 Location: Bangalore / Hyderabad / Mumbai / Delhi

🏢 Work Mode: Onsite

📅 Contract: 6 Months

Key Requirements:

• 5+ years of hands-on MicroStrategy experience

• Strong experience in MicroStrategy development

• Strong SQL skills

• Experience in BI reporting and dashboard development

• Experience with data warehousing and analytics

• Ability to understand business requirements and develop reporting solutions

• Experience in troubleshooting and supporting MicroStrategy applications

Interested candidates can apply with their updated resume.

Mandatory Skills (Must Have)

• SQL and Database Design (5+ years in enterprise data platforms)

• Python development for automation and platform services (5+ years)

• Linux administration and Shell Scripting in production environments

• Metadata-driven systems and data management platform experience

• Technical leadership of offshore or distributed development teams Wissen Technology

• System analysis, troubleshooting, and production support expertise

• Metadata onboarding, integration, and governance processes

• Stakeholder management and delivery ownership across multiple teams

Key Responsibilities

• Lead developers supporting the Pantheon Metadata platform and related services

• Own end-to-end delivery of metadata onboarding and enhancement initiatives

• Design scalable metadata management solutions and automation capabilities

• Collaborate with architecture, infrastructure, and application teams for enterprise integration

• Participate in solution design reviews and establish development best practices

• Prioritize enhancements with business stakeholders and manage delivery commitments

• Provide production support, troubleshooting, and platform stability improvements Wissen Technology

• Drive modernization initiatives related to metadata lifecycle management

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.

Job Description: SQL Developer – Mutual Fund / Capital Markets

Location: Noida, Uttar Pradesh

Work Mode: Hybrid

Experience Required: 10+ Years

Employment Type: Full-time

Job Summary

We are looking for an experienced SQL Developer with strong expertise in Microsoft SQL Server, T-SQL programming, complex query development, and database performance optimization. The ideal candidate should have hands-on experience designing, developing, maintaining, and optimizing database objects and handling complex data processing requirements.

Experience in the Mutual Fund or Capital Markets domain will be highly preferred, particularly in financial systems, transaction processing, data reconciliation, and financial reporting.

Key Responsibilities

• Design, develop, maintain, and optimize SQL Server database schemas and database objects.
• Develop and maintain complex T-SQL queries, stored procedures, functions, triggers, views, SQL Jobs, and scripts.
• Perform query optimization and database performance tuning to improve execution speed and efficiency.
• Analyze execution plans, implement indexing strategies, and work with partitioning and performance monitoring.
• Review existing SQL queries and identify performance bottlenecks and opportunities for improvement.
• Perform data extraction, transformation, migration, data porting, and data processing activities.
• Translate business and financial reporting requirements into effective SQL and database solutions.
• Troubleshoot database issues and provide timely resolutions.
• Support production and UAT environments for database-related issues.
• Perform data validation, reconciliation, and migration activities while ensuring data accuracy and consistency.
• Maintain database security, data integrity, and compliance with established standards.
• Collaborate with application developers, business analysts, QA teams, and other stakeholders.
• Take ownership of assigned tasks and deliver solutions independently.

Required Technical Skills

• Advanced knowledge of Microsoft SQL Server and T-SQL.
• Strong hands-on experience with stored procedures, functions, triggers, views, and SQL Server Jobs.
• Proven expertise in developing simple, medium, and complex SQL queries.
• Strong experience in complex data manipulation and data processing.
• Expertise in SQL query performance tuning and optimization.
• Hands-on knowledge of indexing, execution plan analysis, partitioning, and performance monitoring.
• Ability to analyze, debug, and optimize existing SQL queries.
• Strong database troubleshooting and problem-solving skills.
• Understanding of code versioning and version control systems.
• Knowledge of database security standards and best practices.
• Familiarity with data visualization tools will be an added advantage.

Domain Knowledge

• Good understanding of the Mutual Fund domain is preferred.
• Experience with Capital Markets data platforms and financial systems will be an advantage.
• Understanding of financial transactions, business processes, data reconciliation, and financial reporting requirements is desirable.

Educational Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Relevant certifications or advanced qualifications will be an added advantage.

Preferred Candidate Profile

• 10+ years of relevant experience in SQL Server development.
• Strong technical expertise in T-SQL development and database optimization.
• Ability to work independently and manage complex database requirements.
• Strong analytical, debugging, and communication skills.
• Candidates with relevant Mutual Fund or Capital Markets experience will be preferred.

Work Location: Noida, Uttar Pradesh | Work Mode: Hybrid

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.