Senior BI & ETL Developer

Position Overview

We are seeking a highly skilled Power Platform Developer & Architect with extensive hands‑on experience in designing, developing, and implementing enterprise solutions using the Microsoft Power Platform. The ideal candidate will hold multiple Microsoft certifications—including PL‑600 (Power Platform Solution Architect)—and demonstrate strong communication, leadership, and solution‑thinking abilities.

This role requires deep expertise across Power Apps, Power Automate, Power BI, Dataverse, and Microsoft 365/Azure integrations. The candidate will work closely with business stakeholders, developers, and project teams to deliver scalable, secure, and high‑performance business applications.

Key Responsibilities

Solution Architecture & Design

• Lead end‑to‑end architecture and solution design for Power Platform–based applications.
• Define technical standards, integration patterns, governance, and best practices.
• Evaluate business requirements and translate them into scalable, maintainable solutions.

Development & Implementation

• Develop canvas and model-driven apps, custom connectors, Power Automate workflows, and Power Virtual Agents.
• Work with Dataverse, SharePoint, SQL, and third‑party APIs for data integration.
• Implement automation, process optimization, and business rule logic using Power Platform tools.

Governance, Security & ALM

• Establish and manage Power Platform Center of Excellence (CoE) frameworks.
• Apply Application Lifecycle Management (ALM) using Azure DevOps or GitHub.
• Ensure compliance, data security, DLP policies, and environment management.

Collaboration & Stakeholder Engagement

• Work closely with business leaders, SMEs, project managers, and developers.
• Conduct workshops, requirement-gathering sessions, and user training.
• Communicate complex technical concepts in a clear and effective manner.

Continuous Improvement

• Stay updated with the latest Microsoft cloud capabilities.
• Recommend platform enhancements to improve efficiency and performance.
• Guide junior developers and provide architectural mentorship.

Required Qualifications

Technical Skills

In-depth experience with:

• Power Apps (Canvas & Model-Driven)
• Power Automate
• Power BI
• Dataverse & CDS
• Power Pages (preferred)
• Azure Logic Apps, Functions, API Management
• Strong understanding of Microsoft 365, SharePoint, and Dynamics 365 integrations.
• Experience with automation, RPA, and connectors.

Certifications (Required/Preferred)

• PL‑600: Microsoft Power Platform Solution Architect (Required)
• Additional certifications such as:
• PL‑100, PL‑200, PL‑400
• AZ‑900, AZ‑204, AZ‑305
• MS‑600 or related Microsoft 365 certifications

Soft Skills

• Excellent communication skills with the ability to engage technical and non‑technical audiences.
• Strong problem‑solving, analytical thinking, and decision‑making abilities.
• Leadership experience in guiding technical teams and driving solution strategy.

Preferred Experience

• Experience in enterprise-scale digital transformation projects.
• Exposure to Agile methodologies and DevOps practices.
• Background in software development (C#, JavaScript, TypeScript is a plus).
• Knowledge of data architecture and cloud security best practices.

Position: SharePoint Developer

Experience Required: 5+ Years

Location: Remote

Customer Type: Enterprise Clients

Role Overview

We are looking for an experienced SharePoint Developer with strong expertise in end‑to‑end SharePoint development, customization, and solution delivery. The ideal candidate will be confident in managing enterprise-level customers, gathering requirements, architecting solutions, and delivering high‑quality SharePoint applications aligned with business needs.

Key Responsibilities

SharePoint Development & Customization

• Design, develop, and deploy SharePoint solutions (Online & On‑Prem).
• Build custom components: SPFx web parts, extensions, workflows, forms, and UI customizations.
• Develop integrations using APIs, Power Platform, Microsoft Graph, and Azure services.
• Create automated workflows using Power Automate and Power Apps.

End‑to‑End Project Delivery

• Work closely with business stakeholders to gather, refine, and document requirements.
• Lead solution design, build technical documentation, and perform architectural reviews.
• Execute development, testing, deployment, and post‑deployment support.
• Ensure best practices in governance, security, and lifecycle management.

Enterprise Customer Engagement

• Manage multiple enterprise customers and deliver projects with high-quality standards.
• Provide technical guidance, demos, and workshops for stakeholders.
• Translate business needs into technical solutions with clear communication.
• Handle escalations and provide timely resolutions.

Maintenance & Support

• Perform site migrations, upgrades, and platform optimization.
• Troubleshoot issues related to permissions, workflows, integrations, and performance.
• Support content management, metadata design, and search configurations.

Required Skills & Experience

• 5+ years of hands‑on SharePoint development experience (Online + On‑Prem).
• Strong expertise in SPFx, JavaScript/TypeScript, React, CSOM/REST API, PowerShell.
• Experience with Power Platform (Power Apps, Power Automate, Power BI).
• Solid understanding of SharePoint architecture, governance, permissions, and security models.
• Experience working with enterprise clients, including requirement analysis and solution demos.
• Familiar with Azure AD, Microsoft Graph, and M365 ecosystem.
• Strong communication and client‑facing abilities.

Preferred Qualifications

• Microsoft certifications (e.g., SharePoint, Power Platform, M365).
• Experience with large-scale migration projects (SharePoint 2013/2016/2019 to Online).
• Understanding of DevOps pipelines (Azure DevOps, Git).

Data Engineer

Experience: 4–6 years

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows.
• Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1–2 years).
• Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy.
• Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance.
• Apply data warehousing concepts including dimensional modelling, star schema, data vault modelling, Kimball and Inmon methodologies, and data lake design.
• Develop and maintain ETL/ELT pipelines using open-source frameworks such as Apache Spark and Apache Airflow.
• Integrate and process data streams from message queues and streaming platforms (Kafka, RabbitMQ).
• Collaborate with cross-functional teams in a geographically distributed setup.
• Leverage Jupyter notebooks for data exploration, analysis, and visualization.

Required Skills

• 4+ years of experience in data engineering or a related field.
• Strong programming skills in Python with experience in Pandas, NumPy, Flask.
• Hands-on experience with pipeline monitoring and CI/CD workflows.
• Proficiency in SQL and relational databases.
• Familiarity with Git for version control.
• Strong communication and collaboration skills with ability to work independently.

Skill for BI Backend developer -

-SQL development (Snowflake preferred but any other version of SQL would work)

- ETL

- Stored Procedures

- Creating jobs and work flows in SQL

- some business knowledge

You will:

• Write excellent production code and tests and help others improve in code-reviews
• Analyze high-level requirements to design, document, estimate, and build systems
• Coordinate across teams to identify, resolve, mitigate and prevent technical issues
• Coach and mentor engineers within the team to develop their skills and abilities
• Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes

You have:

For (Fullstack):

• 2 - 10 Years of experience
• Strong with DS & Algorithms
• Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
• Experience with AWS.

For (Geo Team):

• 4 - 10 years of experience
• Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
• Experience using object-oriented languages (Java, Python)
• Experience in working with different AWS technologies.
• Experience in software design, architecture and development.
• Excellent competencies in data structures & algorithms.

For (Backend):

• 2 - 10 years of experience
• Hands on product development experience using Java/ C++/Python
• Experience with AWS,SQL,GIT
• Strong with Data structures and Algorithms

Additional nice to have skills/certifications:

For Java skill set:

Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl

For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift

For (Data Engineering):

• 2 - 10 years of experience
• Experience with object-oriented/object function scripting languages: Python.
• Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
• Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
• Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
• Experience with Amazon Web Services and Dockers

• Creating, designing and developing data models
• Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
• Validating results and creating business reports
• Monitoring and tuning data loads and queries
• Develop and prepare a schedule for a new data warehouse
• Analyze large databases and recommend appropriate optimization for the same
• Administer all requirements and design various functional specifications for data
• Provide support to the Software Development Life cycle
• Prepare various code designs and ensure efficient implementation of the same
• Evaluate all codes and ensure the quality of all project deliverables
• Monitor data warehouse work and provide subject matter expertise
• Hands-on BI practices, data structures, data modeling, SQL skills

Hard Skills for a Data Warehouse Developer:

• Hands-on experience with ETL tools e.g., DataStage, Informatica, Pentaho, Talend
• Sound knowledge of https://www.freelancermap.com/it-projects/sql-1084" target="_blank">SQL
• Experience with SQL databases such as Oracle, DB2, and SQL
• Experience using Data Warehouse platforms e.g., SAP, Birst
• Experience designing, developing, and implementing Data Warehouse solutions
• Project management and system development methodology
• Ability to proactively research solutions and best practices

Soft Skills for Data Warehouse Developers:

• Excellent Analytical skills
• Excellent verbal and written communications
• Strong organization skills
• Ability to work on a team, as well as independently

• 7 years of hands-on experience on database development
• Very strong and hands-on in Oracle Database and PL/SQL development
• Hands on experience in designing solutions and developing for data migration projects using Oracle PL/SQL
• Experience with Oracle Argus Safety, ArisG and other Safety/Clinical systems
• Working experience in development of ETL process, DB Design and Data Structures
• Excellent knowledge of Relational Databases, Tables, Views, Constraints, Index (B Tree, Bitmap and Function Based) , Object type, Stored Procedures, Functions, Packages and Triggers, Dynamic SQL, Set transaction, pl/sql Cursor variables with Ref Cursor
  Excellent written and verbal communication skills

The main roles and responsibilities of a Power BI developer are discussed below:

• Power BI development and administration.
• Building Analysis Services reporting models.
• Developing visual reports, dashboards and KPI scorecards using Power BI desktop.
• Connecting to data sources, importing data and transforming data for Business Intelligence.
• Excellent in analytical thinking for translating data into informative visuals and reports.
• Able to implement row level security on data and have an understanding of application security layer models in https://powerbi.microsoft.com/en-us/">Power BI.