At HL Solutions
We specialize in connecting businesses with top-tier professionals in data engineering, analytics, machine learning, and cloud optimization. Our curated talent pool ensures that your organization has the right expertise to harness the power of data and technology, driving your digital transformation and competitive edge.
Data & AI Talent Engineering
Whether you need experts in data engineering, data architecture, BI Developer , Data Scientist , Data Steward, HL Solutions connects you with top talent to build and scale cutting-edge data and AI solutions.
Snowflake Architect
Skills/Tools: complex SQL, Unix Shell/Python Scripting, AWS – S3, SQS, EC2, Lambda, Redshift, RDS
Responsibilities: Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling).
Data Architect
Skills/Tools: Snowflake, Databricks, Redshift, BigQuery, Data Modeling
Responsibilities: Design and implement scalable and secure data architectures for enterprise data needs.
Azure Data Architect
Skills/Tools: Azure Solutions Architect Expert, Power BI, Tableau, or other visualization tools.
Responsibilities: Develop end-to-end data architecture strategies using Azure services, including…
Data Analyst (DA)
Skills/Tools: SQL, Power BI, Tableau, Python, Excel
Responsibilities: Perform data analysis, generate insights, and design intuitive dashboards for data visualization.
Big Data Architect
Skills/Tools: Spark, Impala, Kafka, Spring Boot, Microservices, Python
Responsibilities: • Executes the architectural vision for all IT systems through major, complex IT architecture projects; ensures that architecture conforms to enterprise blueprints
Snowflake Data Engineer
Skills/Tools: Snowflake, SQL, Python, dbt, ETL Tools
Responsibilities: Design, implement, and manage Snowflake-based data warehouses for scalable and efficient data storage.
Databricks Engineer
Skills/Tools: Databricks, PySpark, Delta Lake, ETL Tools, Python
Responsibilities: Build and optimize robust data pipelines to enable large-scale analytics and data processing.
Azure Data Engineer
Skills/Tools: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
Responsibilities: o Design, implement, and maintain robust ETL/ELT pipelines using Azure Data Factory, Databricks, and PySpark/Scala.
AWS Data Engineer
Skills/Tools: Amazon S3, Amazon, Redshift, Amazon EMR, AWS Glue, AWS Lambda, AWS Kinesis, Python, Spark.
Responsibilities: Design, develop, and optimize scalable data pipelines using AWS services like AWS S3, AWS…
Big Data Engineer
Skills/Tools: Databricks, Snowflake, Hadoop, Spark, Azure Data Factory
Responsibilities: Process and transform massive datasets, integrating data from various sources across platforms.
Snowflake Administrator
Skills/Tools: Snowflake, SQL, Performance Tuning, Security
Responsibilities: Administer, secure, and optimize Snowflake environments for performance and efficiency.
Power BI Developer
Skills/Tools: Experience with geospatial data reporting and integration using Power BI.
Responsibilities: Develop and maintain Power BI dashboards and reports
Tableau Developer
Skills/Tools: Tableau, SQL, Snowflake knowledge will be an added advantage, Problem-solving skills, Collaboration.
Responsibilities: Collaboration with business stakeholders to comprehend their data requirements
Looker Developer
Skills/Tools: Complex SQL, Unix Shell/Python Scripting, AWS (S3, SQS, EC2, Lambda, Redshift, RDS), LookML, Data Modeling.
Responsibilities: Develop Looker models and dashboards, optimize SQL queries, automate workflows, integrate AWS services, and ensure data accuracy.
Data Scientist
Skills/Tools: Databricks, Snowflake, Spark MLlib, Python, R
Responsibilities: Create predictive analytics models and generate AI-driven insights to solve complex business challenges.
Data Steward
Skills/Tools: SQL, Data Catalogs, Metadata Management, Privacy Tools
Responsibilities: Ensure data quality, integrity, and compliance with data classification policies.
ETL Developer
Skills/Tools: Talend, Informatica, SSIS, dbt, Python, Azure Data Factory
Responsibilities: Build and optimize ETL pipelines to transform raw data into actionable insights for decision-making.
ML Engineer
Skills/Tools: Databricks, Snowflake, MLflow, TensorFlow, PyTorch
Responsibilities: Develop, deploy, and scale machine learning models for predictive analytics and AI-driven solutions.
Business Analyst (BA)
Skills/Tools: Power BI, Tableau, SQL, Excel, Agile Methodologies
Responsibilities: Analyze business needs and translate them into data-driven requirements for actionable solutions.
BI Developer/Analyst
Skills/Tools: Power BI, Tableau, Looker, SQL, Snowflake
Responsibilities: Create dashboards and reports, providing actionable insights to drive business performance.
AI/ML Solutions Architect
Skills/Tools: Azure AI, Snowflake, Databricks, GCP AI
Responsibilities: Design and implement AI-driven data solutions tailored to organizational needs.
MLOps Engineer
Skills/Tools: Databricks, Azure ML, Snowflake, ML Pipelines, Kubernetes
Responsibilities: Manage and monitor ML models in production environments, ensuring scalability and performance.
Data Governance Specialist
Skills/Tools: Collibra, Alation, Azure Purview, Informatica Axon
Responsibilities: Implement and manage data governance frameworks to ensure compliance and quality.
DataOps Engineer
Skills/Tools: Airflow, dbt, Jenkins, Kubernetes, Terraform, GitOps
Responsibilities: Automate and optimize end-to-end data pipelines for seamless data operations.
Data Quality Analyst
Skills/Tools: Informatica, Talend, Collibra, SQL, Python
Responsibilities: Perform data profiling, validation, and quality checks to maintain data reliability.
Cloud Cost Optimization Specialist
Skills/Tools: FinOps, Azure Cost Management, AWS Cost Explorer, Cloudability
Responsibilities: Analyze and optimize cloud and data platform costs, monitor resource usage, and maximize ROI.
Data Platform Optimization Engineer
Skills/Tools: Snowflake, Databricks, Query Optimization, FinOps Tools
Responsibilities: Optimize queries, resource usage, and data storage to reduce costs and improve platform efficiency.
Why Us?
Why Choose HL Solutions?
Recruitment Solution
Recruitment & Staffing for Data and AI
We provide access to top-tier data engineers, data scientists, AI/ML experts, and analytics professionals who have the expertise to solve complex business challenges with data. From building AI-driven applications to implementing advanced predictive models, we help you find the right talent to meet your needs.
Contract Talent for
Agile Data & AI Projects
Whether you need to build or scale a data lake, optimize data pipelines, or deploy machine learning models, our contract talent solutions offer the flexibility you need. With our skilled professionals, you can quickly execute data-centric projects without the long-term commitment.
AI & Data Leadership
Search
Attract top leaders who will drive the vision for your AI strategy, data architecture, and machine learning models. Our leadership search services specialize in finding and recruiting senior executives who have the experience to lead your organization’s AI and data transformation initiatives.
Upskilling &
Training
Enhance your team’s ability to innovate by equipping them with the latest AI/ML and data engineering skills. Our training programs include:
- Machine Learning frameworks like TensorFlow, PyTorch, and MLflow
- Data Engineering technologies including Databricks, Snowflake, and ETL frameworks
- Data Governance tools such as Collibra, Alation, and Azure Purview
- Advanced Analytics tools like SQL, Python, and Tableau
Nearshore &
Offshore Talent
Get access to remote consultants who specialize in data science, machine learning, and AI model development. Our remote experts can seamlessly integrate with your teams, ensuring that your data initiatives are executed efficiently, regardless of location.
Transform Your Data Strategy with HL Solutions
Partner with HL Solutions to bring on board the experts you need for your data-driven transformation. Let us help you build a future-ready data and AI team that drives innovation and delivers measurable outcomes.
Contact us today to explore how we can fulfill your data and AI talent needs!
