Augment Your Data Team with Our Data Engineers

If you face roadblocks in collecting, sorting, and analyzing this data, you need to hire data engineer. Our data engineers can help you leverage data in qualitative and quantitative forms. Bacancy has earned a reputation for delivering exceptional data talent for augmenting data management.

Our data engineers work in various settings for building systems and solutions necessary for collecting, storing, managing, and converting raw data into actionable information. Hire data engineer from us to assist data scientists and analysts in interpreting and analyzing the data so you can access the insights to evaluate and optimize the performance of your business.

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Our Data Engineering Services

At Bacancy, we provide a wide range of Data engineering services to all shapes and sizes of businesses. Hire data engineers from us with a brilliant track record of helping world-class companies set up data infrastructure.

Technical Stack

Data Infrastructure Redesigning

When your old data infrastructure fails to meet modern speed, flexibility, and innovation needs, source data engineers from us to move and deploy new technologies alongside legacy infrastructure quickly. Our senior data engineers can help you redesign data infrastructure by enabling real-time data processing, de-coupled data access, and transforming old data models into extensible and flexible data schemas.

Data Delivery Optimization

Staff data engineers from bacancy to transform the old waterfall into an agile data delivery method. Our data engineers can simplify the data loading from the source database to the target database and data warehouse. They can also help you optimize data delivery methods for a seamless flow of data between systems and stakeholders and across the boundaries of your organization.

Data Extraction, Transformation, and Loading

Our data engineers can design a robust ETL architecture to streamline the entire process of data accumulation and data processing. Find data engineer from us to analyze existing ETL systems, design ETL architecture, install new ETL processes, test, deploy, and integrate the ETL process. Leverage our wide range of Data extraction, transformation, and loading services using modern data engineering tools and technologies.

Data Pipeline Automation

Are you looking for full data pipeline automation? Hire a data engineer from us and enjoy seamless data extraction from source, total transformation, and integration with other sources. We will help you with the end-to-end automation of data movement and transformation between a source system and a target repository.

Real-Time Data Processing

Our data engineers are highly skilled at real-time message ingestion, stream processing, data storage, and downstream activation systems necessary for building productive real-time data processing architecture. If you want near-instantaneous output from the continuous flow of data, hire a data engineer now.

Data Reliability Assessment

If you want the data to be complete and accurate, you need to ensure that the data you have is reliable. We can help you with data reliability research to eliminate the guesswork regarding informed decisions. Our data engineers can assess data reliability with different aspects such as validity, completeness, and uniqueness.

Data Verification

Data shifting from existing data lakes to warehouses results in inconsistencies and data loss. The incorrect data impacts the analysis outcome. We let you find data engineers from our dedicated team to remove oddities from massive datasets and provide you with valuable and verified data to get meaningful insights.

Data Security

Our Data engineer for hire can protect your business-critical data from mishandling and undesired access. We have data security experts that will prevent your data from deletion, ransomware, or theft. They can help you with data security protocols by automating data authorization, authentication, and encryption methods.

Tech Stack Used by Data Engineers

We use best-in-class tools, state-of-the-art technologies and modern approaches to scale up your business

Data Collection	Integrate.ioSmartproxyBrightDataIPRoyalMagpiGoSpotCheckFulcrumContentSnareTeamScope
Data Logging	SplunkElasticSumo LogicLogglyPaperTrail0LogentriesGoAccessLogz.io
Data Storage	Apache HadoopApache HBaseNetApp Scale-out NASSnowFlakeDatabricks Lakehouse PlatformSolarWindsHitachi VentaraSpectra BlackPearlSpectra BlackPearl
Data Pipelines (ETL)	KeboolaStitchSegmentFivetranIntegrate.ioEtleapInformatica PowerCenterTalendPentahoHevo DataCofluentEstuary FlowApache KafkaApache AirflowBlendoFly Data
Data Cleaning	Integrate.ioTibco ClarityDemandToolsRRingLeadMelissa Clean SuiteWinPure Clean & MatchInformatica Cloud Data QualityOracle Enterprise Data QualitySAS Data QualityTrifacta WranglerDrakeWinpureDataLadder CloudingoReifier
Data Verification	DatameerTalendInformaticaQuerySurgeICEDQDatagaps ETL ValidatorDbFitData-Centric Testing

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Our Customer Success Stories

For the last 5+ years, we have been helping our clients bridge the gaps between business, data, informative decisions, and technology.

Category Prediction

Core Technologies - Python | NLP | Rasa | Flask | MatPlotLib

We developed a category prediction for one of our clients in the USA. Our Data Engineers, data analysts, and data scientists worked rigorously to learn and predict the category of the company by fetching and analyzing the metatags from the company website's homepage. We achieved a 70% accuracy score for our company category prediction model.

E-Commerce

ETL Solution for Data Handling

Core Technologies - Oracle | Netezza | SAS Datasets | AWS datamarts

Our data engineers designed, developed, and implemented ETL solutions to handle clients' revenue loss forecasting models for input and output data. The solution can handle large data volumes from multiple sources, transforming and loading data to and from data marts and data warehouses.

Education

Build and Maintain a Data Pipeline

Core Technologies - AirFlow | BigQuery | Keboola | Apache Hive

Our client acquired a new company and sought efficient data management infrastructure to manage transactional and analytics workload. We helped him by creating a secure data warehouse, data lake, and data pipeline. It helped our client ingest and process data at scale.

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Data Engineering Use Cases

Targeted Marketing
Fault Prediction
Candidate Profiling
Demand Forecasting
Inventory Management

Targeted Marketing

Businesses more interested in targeted ads and marketing campaigns and looking to get maximum profits by spending a minimum amount must consider targeted marketing made possible by qualified Data engineers and data scientists. Use targeted marketing to design marketing campaigns around your consumers' demographic, contextual, and behavioral traits.

Fault Prediction

Fault prediction is a process, or a classification model built using predictive learning, Machine Learning, and Artificial Intelligence tools for identifying and differentiating fault types, categorizing them, and finding the factors responsible for causing that fault. Fault detection has become a vital model in manufacturing, packaging, IT, automotive, finance, and many more industries.

Candidate Profiling

Hiring the right people is of utmost importance if you believe your success is directly related to your people. Find experienced data engineers to build candidate profiling models to help you find, hire, and retain the best candidates. Using statistical models and predictive analytics, we provide predictive power to the hiring managers so they can rightfully analyze the skills and suitability of the candidate for the specified job roles.

Demand Forecasting

If demand volatility is your biggest challenge, try our demand forecasting model. We will build a model according to your business needs to estimate the demand for specific services or products at any given time. We use traditional statistical methods and ML algorithms to analyze structured and unstructured historical and real-time data to recognize patterns, capture demand signals, and spot complicated relationships in large datasets.

Inventory Management

We can build an inventory management model for you to keep the right balance between the products and services of the company and that of your inventory. Hire the best data engineers from us and enjoy improving operational efficiency, sales, and profit maximization, enhancing customer satisfaction, and taking advantage of cost reductions, assisting with end-to-end data engineering projects.

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Why Hire Data Engineers From Bacancy?

Our experienced data engineers are ready to unlock the total data value. We leverage deep technical Big data expertise to offer innovative data engineering services to our clients. Whether you want Our data experts have covered everything you need to redesign your data infrastructure or create a customized ML model.

Hire data engineer from us for all your data management and data science needs. We will help you manage your data infrastructure efficiently. We will break data silos, ensure that data is suitable for organizational use, and turn that data into valuable insights.

Advantages of Hiring Data Engineers From Us

We have a personal approach to all your data requirements.
Our pre-screened and vetted data engineers offer full data-managed services.
Our data engineers have versatile industry and technology competencies.
Language and time zone is never a barrier for us.
We provide complementary data infrastructure assessment.

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Our Extended Capabilities

Hire Data Scientist

Hire Data Analyst

Business Intelligence Services

Data Visualization Services

12+ Years and Counting...

By establishing a Data development center, we offer our tailored engagement models cater to the unique needs by providing B2B and B2C Dedicated development support.

Our Development Center Strength

1050+

Agile Developers

40+

Data Developers

05

Agile Coaches

14

Certified Scrum Masters

Work at Your Time Zone

Easy Communication

Hire in 48 Hours

In Business Since 2011

5/5 Pro User Rating

Frequently Asked Questions

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What does a Data Engineer Do?

A data engineer is an expert who prepares data for analytical and operational use. The primary job of a data engineer is to build data pipelines and bring together siloed data sources.

What are the skills of a Data Engineer?

A data engineer is skilled in C#, Java, Python, R, Ruby, Scala SQL., Python, R, and other relevant programming languages.
A data engineer is also expected to have skills in different ETL tools and Rest-oriented APIs necessary for managing and creating data integration tasks.
Additionally, a data engineer must deeply understand data lakes, data warehouses, and how they work.
Besides, having skills related to NoSQL databases and Apache Spark systems - the typical components of data workflow is a must.
A data engineer must have a better understanding of relational database systems, such as MySQL, PostgreSQL, and Lambda architecture, supporting unified data pipelines for batch and real-time processing.
They must possess knowledge and expertise in different Business Intelligence (BI) platforms.

What are the roles and responsibilities of a Data Engineer?

A data engineer usually works alongside data analysts and data scientists as an integral part of the data team.
A data engineer builds data pipelines by pulling together data from multiple sources.
Cleansing and consolidating cleaned data is also one of the major roles of a data engineer.
Structuring and organizing data in a specified format for using it in specific data analytics applications.
The key responsibility of a data engineer is to provide data in a usable form to the data scientist for further processing and analysis.
A data engineer is also responsible for providing aggregated data to whoever needs it for analysis and processing.

What is the difference between a Data Engineer and a Data Analyst?

A data engineer is involved in data preparation for operational and analytical use. He is good at programming languages like SQL, Java, SAS, and Python, with exceptional skills in data frameworks such as Hadoop, Pig, Hive, Apache Spark, MapReduce, NoSQL, and Data Streaming. Besides, a data engineer is highly skilled at creating a data warehouse using ETL

A data analyst is majorly involved in converting numerical data into a usable format. He possesses exceptional skills in Microsoft Excel, SAS Miner, SPSS, and SSAS. A data analyst has a great understanding of SQL, Python, R, and JavaScript programming languages. Besides, Data mining, data visualization, exploratory data analysis, and statistics are the primary skill sets possessed by a data analyst.

Do I need to hire a Data Engineer separately for my Data Science project?

No, you do not need to hire a data engineer separately for a data science project. A data team compromised to execute your data science project will have all the necessary skills, expertise, and professionals required to complete the project.

Out of Data Scientist and Data Engineer, whom shall I hire?

Both data scientists and data engineers play different roles in a data science lifecycle. Hiring data engineers and data scientists is solely dependent on your requirements. You can hire a data engineer when building a production-level data team using a continuous stream of data from multiple data sources.

Top-Tier IT Geniuses

Bacancy Technology is an exclusive hub of top dedicated software developers, UI/UX designers, QA experts, and product managers with incredibly rare and hidden talents you will ever come across. We let you access the exceptional IT talent globally, from independent software developers to fully managed teams.

Time Zone Aligned

Timezone is never a constraint when you are working with Bacancy Technology. We follow a simple procedure- our developers and your time zone. Hire dedicated software developers from us and collaborate from far away to work according to your time zone, deadline, and milestone.

Experienced Team

Whether you are looking for skilled developers in emerging technologies or looking for an extended arm to augment your existing team, we can lend a helping hand in both situations. We are a full-stack software development company with 1050+ skilled and experienced software developers whom you can hire at your convenience to address ongoing business challenges.

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