Exceptional Data engineering services

We help businesses govern their enterprise data effectively and expand the limits of excellence by offering software services and solutions that enhance workflows and fuel informed decisions.

Data engineering solutions & services we offer

  • Data strategy and consulting

    Data strategy and consulting

    Uplift your business in data usage, automation, and management. Get
    enterprise data transformation roadmap, enterprise data strategy, and data
    cloud strategy to harness data into useful insights.

  • Data architecture

    Data architecture

    We help implement a secure, scalable, and highly accessible architecture
    that is an essential part of the data engineering process to get a unified
    view of information.

  • Data warehouse implementation

    Data warehouse implementation

    Our data engineering services for enterprises help build data warehouses
    that can gather company data from different sources in a single repository
    that is kept separately from an enterprise’s operational database.

  • Data integration

    Data integration

    Utilize our integration services that empower data-based software and
    consolidate digital data from different sources to make it readily
    available for processing and analysis.

  • Data integration

    Data modernization

    Optimize large volumes of data by driving actionable insights. Experience our next-gen data modernization services with a holistic approach to lead your company towards data excellence.

  • Data processing

    Data processing

    We help implement real-time or batch data processing in order to provide
    you with structured data that you can use further based on your business
    needs and goals.

  • Data governance

    Data governance

    We help create a data governance foundation with the use of tested tools
    to make sure that your data is secured and compliant with industry
    policies and regulations.

Why Techmango for data engineering services?

Immense expertise

Expertise in cross-industry implementations with the most flexible engagement models. We have more than a decade of rich expertise in delivering end-to-end data engineering services for global enterprises.

Quality service

We ensure the optimum security standards in the industry. Our big data solutions are tested rigorously in order to meet the business requirements.

Cost-effective solutions

We offer data engineering solutions at the best prices, keeping various factors in mind such as total completion time, volume of work, project complexity, etc.

Data security

We adhere to the information security management system (ISMS) guidelines. We focus on maintaining project confidentiality.

Our data engineering development process

We have been entrusted as the primary choice for data engineering solutions by global brands.

Understanding business and technical needs

Our team carries out discovery calls with potential customers and gets all key data.

Analysis of data sources

Our experts evaluate multiple data sources with unstructured & structured data.

Building a data lake

We build data lakes that can be accessed utilizing specific tools like S3, Hadoop, GCS, etc.

Designing and implementing data pipelines

We carry out data processing that turns data into relevant information and produces unified data models.

Automation and deployment

Proper deployment and automation of the data pipeline with feasible strategies for business needs.

Testing

Our team carries out meticulous testing steps with industry-leading technologies and techniques.

We have been entrusted as the primary choice for data engineering solutions by leading global enterprises.

Here’s how we have helped our clients succeed in their business endeavors

We have helped a furniture retail giant migrate their data pipelines and analytics apps to the Google Cloud platform in various releases to make sure of business continuity. This eventually resulted in multiple benefits.

  • 25%

    infrastructure cost reduction through cloud data warehouse and data lake solution.

  • 32%

    reduction in data center leasing and maintenance costs.

  • 28%

    project duration reduction by speeding up the processes of accessing insights.

Our data engineering tools and technologies

We leverage advanced tools and technologies in order to deliver high-quality software solutions. We also collaborate with leading cloud solution providers such as Azure, AWS, etc.

data platform

Data platforms

We work with different data platforms such as Cloudera, Snowflake, etc to support large-scale storage and data processing solutions.

data quality

Data quality testing

We make use of testing tools like Talend that enable us to determine and address data issues proactively which in turn helps in maintaining high data quality.

data transformation

Data transformation

We utilize tools like Talend, Apache Beam, and Informatica for data transformation to make sure that data is properly formatted and ready for analysis.

We are also committed to open-source technologies and community to ensure that
our clients benefit from effective and popular data engineering software
without any additional costs. This approach enables us to provide
cost-effective and robust solutions that meet the diverse requirements of our
clients.

AWS

Azure

Other Tools

Industry expertise

Over the years, we have had the opportunity to work with innumerable clients across 10+ industry sectors. Get ready to focus on boosting your profit margins while we crunch the data and produce valuable business insights for you.

  • healthcare

    Healthcare

  • retail

    Retail

  • manufacturing

    Manufacturing

  • education

    Education

  • finance

    Banking & Financial

  • real estate

    Real Estate

  • insurance

    Insurance

  • logistics

    Logistics & Distribution

Know how our services can transform your ideas into successful businesses

How to use reliable Data engineering services to drive your business growth in 2024?

How can Techmango’s Data Engineering practices be leveraged to maximize data potential?

Top 6 Data Engineering challenges and how Techmango overcomes them?

Techmango in action - Our success stories in data engineering

Case studies

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Case study

Product traceability solution for a manufacturing giant

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Case study

Advanced data solutions to enhance business analytics

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Case study

Data platform solution for a global leader in the FMCG industry

Towards a sustainable digital future

FAQ

What is the role of a data engineer?

The role of a data engineer is to design and implement systems that can efficiently and reliably collect, store, and process large volumes of data. They also need to ensure that the data is accurate, consistent, and available for analysis.

What are some common tools and technologies used in data engineering?

Some common tools and technologies used in data engineering include Hadoop, Spark, Kafka, AWS, Azure, Google Cloud Platform, SQL and NoSQL databases, and data warehousing tools like Snowflake and Redshift.

What are some best practices for data engineering?

Some best practices for data engineering include designing systems for scalability and reliability, using automation tools to manage infrastructure and deployments, adopting a data modeling methodology, and following industry standards for data quality and governance.

What is ETL?

ETL stands for Extract, Transform, Load, which is a process used to move data from one location to another, transform it into a usable format, and load it into a database or data warehouse.

What is a data pipeline?

A data pipeline is a set of tools and processes used to move data from its source to its destination, including extraction, transformation, and loading steps, as well as data validation and quality checks.

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