Mutually Human
At Mutually Human, we believe that innovation ensures relevancy. We help companies harness the power of Artificial Intelligence, Data, and Software through a holistic approach that emphasizes People, Process, and Technology. Our services are designed to solve key business challenges like optimizing operational efficiency, driving data-driven decision-making, and enhancing customer experiences. Join our team to help businesses stay ahead in an ever-evolving digital landscape.
Position Overview
The Data Engineer will design, implement, and optimize SQL-based data pipelines and databases, collaborating with cross-functional teams to develop scalable systems using Microsoft Fabric, Azure Data Lake, Databricks, and Snowflake for efficient data environments. Key Responsibilities
Design, build and maintain
scalable, efficient ETL/ELT pipelines
for data ingestion, transformation, and integration. Write, optimize, and manage
SQL queries, stored procedures, and scripts
to support analytics and reporting. Design and implement
data models
for business intelligence and analytical reporting. Ensure data
quality, consistency, and reliability
through best practices and validation techniques. Implement Medallion Architecture (Bronze, Silver, Gold layers)
to enable scalable and structured data processing. Work with Cutting-Edge Data & AI Tech Microsoft Fabric : Develop and manage dataflows, models, and SQL-driven analytics solutions. Snowflake : Design
modern data warehouses and data lakes
that power AI-driven insights. Azure Data Lake : Implement
high-scale storage solutions
for AI and machine learning utilizing both structured and unstructured data. Performance Optimization & DevOps Optimize
SQL queries, indexing, and database performance tuning
for efficiency and scalability. Work with
CI/CD pipelines , automating deployments and testing for data workflows (using
Git, Terraform, or Azure DevOps ). Enable
real-time monitoring and automation
for enhanced pipeline reliability. Path to Leadership & Senior Roles Take
ownership of projects
and begin
leading technical initiatives . Mentor junior engineers
and share knowledge within the team. Work towards
designing data architecture
and
influencing strategic decisions . Collaborate with sales and business teams to
translate needs into scalable data solutions . AI/ML Enablement & Analytics Collaborate with
data scientists and analysts
to support AI/ML initiatives by integrating models into data pipelines. Enhance
AI-driven data processing
through automation and advanced transformations. Work closely with
data analysts, business stakeholders, and product teams
to gather requirements and deliver tailored data solutions. Follow
data governance best practices , ensuring compliance with security policies and regulatory standards. Qualifications
Required Skills & Experience: SQL Proficiency : 3+ years of hands-on experience with
advanced SQL
for data analysis, modeling, and engineering. Data Pipeline Development : Experience with
ETL/ELT tools and modern data engineering frameworks . Medallion Architecture Knowledge : Understanding of
Bronze, Silver, and Gold data layers
for structured data transformation. Cloud Data Engineering : Hands-on experience with
Microsoft Fabric, Databricks, Azure Data Lake, or Snowflake . Database Management : Experience with
SQL Server, PostgreSQL, SAP HANA, Progress, Oracle ,
Azure SQL or other relational databases . Programming Skills : Proficiency in
Python, C# or Java
for data transformations and automation. DevOps & Infrastructure : Experience with
CI/CD pipelines, Git or Azure DevOps . Cloud Platforms : Working knowledge of
Azure, AWS, or Google Cloud
services. Bonus Points for: Microsoft Data & AI certifications. Experience with BI tools like
Power BI, Tableau, or Looker . Interest in
ML model deployment
and AI-driven analytics. Understanding of
Azure and AWS networking concepts . Knowledge of
data governance frameworks and compliance standards
(GDPR, HIPAA, SOC 2). Think you have what it takes? Apply today! #J-18808-Ljbffr
The Data Engineer will design, implement, and optimize SQL-based data pipelines and databases, collaborating with cross-functional teams to develop scalable systems using Microsoft Fabric, Azure Data Lake, Databricks, and Snowflake for efficient data environments. Key Responsibilities
Design, build and maintain
scalable, efficient ETL/ELT pipelines
for data ingestion, transformation, and integration. Write, optimize, and manage
SQL queries, stored procedures, and scripts
to support analytics and reporting. Design and implement
data models
for business intelligence and analytical reporting. Ensure data
quality, consistency, and reliability
through best practices and validation techniques. Implement Medallion Architecture (Bronze, Silver, Gold layers)
to enable scalable and structured data processing. Work with Cutting-Edge Data & AI Tech Microsoft Fabric : Develop and manage dataflows, models, and SQL-driven analytics solutions. Snowflake : Design
modern data warehouses and data lakes
that power AI-driven insights. Azure Data Lake : Implement
high-scale storage solutions
for AI and machine learning utilizing both structured and unstructured data. Performance Optimization & DevOps Optimize
SQL queries, indexing, and database performance tuning
for efficiency and scalability. Work with
CI/CD pipelines , automating deployments and testing for data workflows (using
Git, Terraform, or Azure DevOps ). Enable
real-time monitoring and automation
for enhanced pipeline reliability. Path to Leadership & Senior Roles Take
ownership of projects
and begin
leading technical initiatives . Mentor junior engineers
and share knowledge within the team. Work towards
designing data architecture
and
influencing strategic decisions . Collaborate with sales and business teams to
translate needs into scalable data solutions . AI/ML Enablement & Analytics Collaborate with
data scientists and analysts
to support AI/ML initiatives by integrating models into data pipelines. Enhance
AI-driven data processing
through automation and advanced transformations. Work closely with
data analysts, business stakeholders, and product teams
to gather requirements and deliver tailored data solutions. Follow
data governance best practices , ensuring compliance with security policies and regulatory standards. Qualifications
Required Skills & Experience: SQL Proficiency : 3+ years of hands-on experience with
advanced SQL
for data analysis, modeling, and engineering. Data Pipeline Development : Experience with
ETL/ELT tools and modern data engineering frameworks . Medallion Architecture Knowledge : Understanding of
Bronze, Silver, and Gold data layers
for structured data transformation. Cloud Data Engineering : Hands-on experience with
Microsoft Fabric, Databricks, Azure Data Lake, or Snowflake . Database Management : Experience with
SQL Server, PostgreSQL, SAP HANA, Progress, Oracle ,
Azure SQL or other relational databases . Programming Skills : Proficiency in
Python, C# or Java
for data transformations and automation. DevOps & Infrastructure : Experience with
CI/CD pipelines, Git or Azure DevOps . Cloud Platforms : Working knowledge of
Azure, AWS, or Google Cloud
services. Bonus Points for: Microsoft Data & AI certifications. Experience with BI tools like
Power BI, Tableau, or Looker . Interest in
ML model deployment
and AI-driven analytics. Understanding of
Azure and AWS networking concepts . Knowledge of
data governance frameworks and compliance standards
(GDPR, HIPAA, SOC 2). Think you have what it takes? Apply today! #J-18808-Ljbffr