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Elevating Insights with Data Engineering Services

Unlock the power of data with Aglowid’s data engineering services, optimizing operations and driving strategic decisions from pipeline development to analytics and security.

Unlock Your Data Potential

Data Analytics

Discover valuable insights with our data analytics solutions, designed to enhance your business operations and performance.

Big Data

Manage and extract value from large datasets efficiently with our innovative big data solutions.

Data Pipeline Development

Build robust, real-time data pipelines that ensure seamless data flow and processing.

ETL/ELT Processes

Optimize data workflows to transform raw data into actionable insights with our efficient ETL/ELT processes.

Data Integration

Seamlessly combine diverse data sources to generate clear, actionable information for better decision-making.

Data Transformation and Cleaning

Improve data accuracy and usability through expert data transformation and cleaning techniques.

Database Design and Management

Enhance database performance and scalability with our database design and management solutions.

Data Warehousing

Design and manage secure data warehouses to meet your storage and analysis needs.

Data Migration

Perform seamless data migrations to maintain continuity and minimize disruptions.

Infrastructure Automation

Increase efficiency and reliability by automating infrastructure management tasks.

Data Security and Compliance

Protect sensitive data and ensure compliance with industry standards through proper security measures.

Business Intelligence Services

Drive growth and improve decision-making with strategic insights powered by advanced BI solutions.

Data Visualization

Transform data into actionable insights with advanced visualization techniques.

Data Engineer Profiles We Offer

Data Integration Engineer

  • Expertise: Data Integration, ETL, SQL, Talend, Informatica Cloud Data Integration

Specializes in integrating diverse data sources into unified systems, ensuring seamless data flow & accessibility for analytics & decision-making.

Data Pipeline Engineer

  • Expertise: Data Pipelines, Python, Apache NiFi, Apache Airflow, Talend

Develops and manages data pipelines to ensure the smooth flow of data across systems. Implements automation to streamline data processing and integration.

ETL/ELT Engineer

  • Expertise: Data Integration, SQL, Python, Informatica, Talend, Apache NiFi

Crafts and optimizes ETL/ELT processes to streamline data extraction, transformation, and loading into data warehouses.

Data Migration Engineer

  • Expertise: Data Migration, SQL, AWS DMS, Google Cloud DTS, Talend Migration

Executes data migration projects, transferring data between storage types, formats, or systems while ensuring data integrity & minimal downtime.

Data Infrastructure Engineer

  • Expertise: Data Infrastructure, Kubernetes, Terraform, Ansible, Docker

Responsible for building and maintaining the underlying infrastructure for data storage, processing, and analytics, ensuring scalability and performance.

Data Warehouse Engineer

  • Expertise: Data Warehousing, Amazon Redshift, Google BigQuery, Snowflake, Teradata

Assigned to design and maintain data warehouses, optimizing schemas and queries to support robust business intelligence and analytics.

Business Intelligence (BI) Engineer

  • Expertise: Business Intelligence, Data Visualization, Tableau, Microsoft Power BI, QlikView

Optimizes business intelligence solutions, transforming data into actionable insights through dashboards and reports.

Streaming Data Engineer

  • Expertise: Real-Time Data Processing, Apache Kafka, Flink, Spark Streaming

Builds real-time data processing solutions to enable instant decision-making based on live data streams.

Big Data Engineer

  • Expertise: Big Data, Hadoop, Spark, Kafka, Apache Hadoop, Apache Spark, Apache Hive

Maintains and develops solutions for processing and analyzing large datasets, enabling actionable insights from big data.

Cloud Data Engineer

  • Expertise: Cloud Data Architecture, AWS, Google BigQuery, Amazon Redshift, Snowflake

Responsible for designing and maintaining scalable cloud data architectures. Ensures data solutions are reliable, secure, and cost-effective.

Machine Learning Engineer

  • Expertise: Machine Learning, Scikit-learn, TensorFlow, PyTorch, Apache Spark

Collaborates with data scientists to deploy machine learning models, managing data pipelines for efficient model training and inference.

NLP Engineer

  • Expertise: NLP Algorithms, Model Development, Text Data Processing

Our NLP Engineers build and optimize NLP models, enabling intelligent automation and improved language understanding for better customer interactions.

Tech Stack Our Data Engineers Cover

Data Integration Apache NiFiApache AirflowTalendInformatica
Big Data Processing Apache HadoopApache SparkApache Hive
Data Warehousing Amazon RedshiftGoogle BigQuerySnowflakeTeradata
Machine Learning Scikit-learnTensorFlowPyTorch
Data Streaming Apache KafkaApache Flink
Data Migration AWS Database Migration Service (DMS)Google Cloud Data Transfer ServiceTalend Data Migration
Infrastructure Automation TerraformAnsible
Containerization & Orchestration DockerKubernetes
ETL Tools Apache NiFiTalendInformatica

Elevate Your Data Strategy with Our Advance Data Capabilities

Cloud Data Engineering

  • Optimize data infrastructure with scalable cloud platforms (AWS, Azure, Google Cloud).
  • Ensure reliable and cost-efficient business operations.

Big Data Technologies

  • Unlock insights from large datasets using Hadoop, Spark, and Kafka.
  • Drive informed decision-making and gain a competitive edge.

Real-time Data Processing

  • Implement real-time data pipelines (Apache Kafka, Flink, Spark Streaming).
  • Enable instant insights and agile responses to market trends.

Machine Learning and AI Integration

  • Integrate predictive analytics & automated decision-making with machine learning models.
  • Enhance operational efficiency and accelerate business growth.
Embrace Retail Digital Transformation

Our Flexible Engagement Models

Hourly Hiring

Start work in 48 hours

Duration

8 Hrs/Day

Minimum Days

30 Days

Billing

Monthly

Hire Now

Full Time Hiring

Start work in 72 hours

Duration

8 Hrs/Day

Minimum Days

30 Days

Billing

Monthly

Hire Now

Part Time Hiring

Start work in 48 hours

Duration

80 Hrs/Month

Minimum Days

30 Days

Billing

Monthly

Hire Now
Hire a Team @ Discounted Rates

How to Hire Data Engineer in 4 Easy Steps

Choose Your
Engagement Model

Pick the right engagement model per your project needs – Part-Time, Full-Time, or Hourly Basis.

Screen & Select
Data Engineers

Select your ideal data engineer(s) from our list of best data engineers for hire.

Conduct
One-on-One Interview

Interview the selected data engineers & assess their technical and interpersonal skills.

Onboard
Data Engineers

Onboard the finalized data engineers to your in-house team within 3-5 weeks of final confirmation.

Let's Test & Select the Best

Advanced Data Solutions for Diverse Industries

Healthcare

  • Automated Data Pipelines for Clinical Research
  • Real-Time Patient Data Integration and Analytics with EHR
  • Predictive Modeling for Patient Outcomes

Banking & Finance

  • AI-enabled Fraud Detection and Prevention Solution.
  • Customer engagement & support with NLP & AI-driven chatbots.
  • Predictive Analytics for Credit Scoring and Loan Approvals

Retail

  • Predictive Analytics for Inventory Optimization
  • AI-driven Pricing Strategies for gaining competitive advantage
  • Advanced Reporting & Insights with BI-enabled dashboards

Transport & Logistics

  • Smart Fleet Management with Integrated ERP & CRM systems
  • Route Optimization and Scheduling Algorithm
  • Load optimization via in-depth Product and Vehicle Capacity Analysis

Real Estate

  • Market Analysis and Valuation Estimation with Predictive Analysis
  • Enhance Property Management with Smart Data Insights
  • Real Estate Demand Forecasting and Trend Analysis

Why Hire Data Engineers from Aglowid?

Precise & Useful Analytics

  • Accelerate data processing and enhance accuracy for timely insights.

Seamless Handling of Growing Data

  • Efficiently manage and scale with increasing data volumes.

Improved Decision-Making Efficiency

  • Enhance operational efficiency through better data accessibility.

Reliable Data Systems

  • Ensure stable and dependable data management and processing.

Local Time Zone Alignment

  • Collaborate without worrying about time-zone barriers.

Transparent Pricing

  • Signed NDA, and pay-as-you-go model with no long-term lock-in.

Related Services We Offer

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Clientele

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Testimonials

Our Slam Book

Tony Lehtimaki

DIRECTOR - AMEOS

Spain

Very professional, accurate and efficient team despite all the changes I had them do. I look forward to working with them again.

Antoine de Bausset

CEO - BEESPOKE

France

They are great at what they do. Very easy to communicate with and they came through faster than I hoped. They delivered everything I wanted and more! I will certainly use them again!

Vivek Singh

MARKETING & SALES HEAD - VARMORA

Gujarat

I really liked their attention to detail and their sheer will to do the job at hand as good as possible beyond professional boundaries.

Nimesh Patel

DIRECTOR - COVERTEK CERAMICA

Gujarat

Excellent work, and on time with all goals. Communication was very easy, and knowledge of work was excellent. Will be working with them on upcoming projects. I highly recommend.

Craig Zappa

DIRECTOR - ENA PARAMUS

United States

"I would like to recommend their name to one and all. No doubt" their web app development services cater to all needs.

Neil Lockwood

CO-FOUNDER - ESR

Australia

Aglowid is doing a great job in the field of web app development. I am truly satisfied with their quality of service.

Daphne Christoforidou

CEO - ELEMENTIA

United States

Their team of experts jotted down every need of mine and turned them into a high performing web application within no time. Just superb!

Talk To Us

Let’s Get In Touch

Contact number

+91 8487981277

+1 770 796 0077

Email Address

[email protected]

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