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Data Lake

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Data Lake
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Hire Data Lake Developers and Engineers

Alex K., Data Lake Developer

- Senior Data Engineer with a strong technology core background in companies focused on data collection, management, and analysis. - Proficient in SQL, NoSQL, Python, Pyspark, Oracle PL/SQL, Microsoft T-SQL, and Perl/Bash. - Experienced in working with AWS stack (Redshift, Aurora, PostgreSQL, Lambda, S3, Glue, Terraform, CodePipeline) and GCP stack (BigQuery, Dataflow, Dataproc, Pub/Sub, Data Studio, Terraform, Cloud Build). - Skilled in working with RDBMS such as Oracle, MySQL, PostgreSQL, MsSQL, and DB2. - Familiar with Big Data technologies like AWS Redshift, GCP BigQuery, MongoDB, Apache Hadoop, AWS DynamoDB, and Neo4j. - Proficient in ETL tools such as Talend Data Integration, Informatica, Oracle Data Integrator (ODI), IBM Datastage, and Apache Airflow. - Experienced in using Git, Bitbucket, SVN, and Terraform for version control and infrastructure management. - Holds a Master's degree in Environmental Engineering and has several years of experience in the field. - Has worked on various projects as a data engineer, including operational data warehousing, data integration for crypto wallets/De-Fi, cloud data hub architecture, data lake migration, GDPR reporting, CRM migration, and legacy data warehouse migration. - Strong expertise in designing and developing ETL processes, performance tuning, troubleshooting, and providing technical consulting to business users. - Familiar with agile methodologies and has experience working in agile environments. - Has experience with Oracle, Microsoft SQL Server, and MongoDB databases. - Has worked in various industries including financial services, automotive, marketing, and gaming. - Advanced English - Available in 4 weeks after approval for the project

Data Lake

Data Lake

AWS (Amazon Web Services)

AWS (Amazon Web Services)

GCP (Google Cloud Platform)

GCP (Google Cloud Platform)

Yuriy D., Data Lake Developer

- 14+ years of experience in IT; - Data Engineering and Data Architecture Experience - System-level programming, OOP and OOD, functional programming; - Profiling and optimizing code; - Writing reliable code; - Writing product documentation, supporting products; - Team working, team leading; - Strong knowledge in Mathematics and physics (over 30 scientific publications); - Mentoring skills as a senior developer;

Data Lake

Data Lake

Python

Python

C++

C++

Scala

Scala

Michał L., Data Lake Developer

With nearly 27 years in consulting and financial services, the engineer exhibits a robust proficiency in BI, ERP, and CRM projects, boasting an extensive background in business process modeling, project, and test management.Skilled in Business Process Mining (Celonis, ARIS). Strong Business Analysis Skills Key qualifications include adeptness in programming with Python, Microsoft SQL, and experience utilizing technologies such as Celonis for process mining. The engineer's track record features successful lead roles in digital transformation projects, evidencing superior skills in managing and executing user acceptance testing for significant banking data migration, enhancing efficiency in the automotive sector, and deploying enterprise solutions, including Microsoft's D365 ERP system.Data analyst (Pandas, Numpy, Polars, Keras, PyTorch, Tensorflow, Matplotlib, Plotly, Seaborn, MS SQL) , building Machine Learning Models in Python Sklearn and LSTM neural network .Experienced PM & Instructor with a demonstrated history of work. Experienced negotiator and salesman, working for German clients. Strong education professional graduated from Borneumoth University.An academic foundation in banking and insurance, complemented by a Python programming certification (PCEP), reinforces a solid command of software engineering principles and methodologies.

Data Lake

Data Lake

Python

Python

SQL

SQL

Business Intelligence (BI) Tools

Business Intelligence (BI) Tools

Celonis (Execution Management System)

Celonis (Execution Management System)

Bart van Tuil, Data Lake Developer

- With over a decade of progressive experience in software development and leadership, the engineer showcases a rich portfolio of technical expertise and successful project executions. - Holding a strong foundation with an Engineering degree in Computer Science, the individual commands an authoritative understanding of software architecture, security, and diverse programming languages including C#, .NET frameworks, and RESTful services. - Proven leadership as a team lead is evident in guiding teams to craft tailored hardware and software solutions. - Credentialed with Microsoft certified professional developer and technology specialist certifications, the candidate applies industry-standard methodologies such as Agile/Scrum and Azure DevOps to drive software development lifecycle. - A practical problem-solver, they prioritize maintainability and user-centric design, underpinned by a philosophy of ‘fail-early’ principles and direct communication.

Data Lake

Data Lake

.NET

.NET   5 yr.

C

C   5 yr.

Microsoft SQL Server

Microsoft SQL Server   5 yr.

Yuliya Y., Data Lake Developer

- Over 7 years of experience in Digital Marketing, 3 of which are in the Trading Ecosystem as a Director Marketing/Team Lead Marketing - Skilled in using major tools like Facebook Ads, LinkedIn Ads, Google Analytics, GTM, and Data Studio, as well as newer platforms like TikTok Ads. Demonstrated success in managing large budgets, leading cross-functional teams, and launching products in the US and European markets, primarily in the EdTech and FinTech sectors. - Proficient in SEO, comprehensive analytics, and the creation of data-driven marketing sales funnels, specializing in formulating digital promotion strategies that enhance lead generation and customer segmentation for SaaS products. - Upper-Intermediate English

Data Lake

Data Lake

DFF (Feature Driven Development)

DFF (Feature Driven Development)

DigitalOcean

DigitalOcean   7 yr.

Team Leadership

Team Leadership   3 yr.

MS SQL Server Management Studio

MS SQL Server Management Studio

seo

seo

Michael Magero, Data Lake Developer

An accomplished Senior Backend Engineer with a solid 6-year track record in the tech sector, specializing in APIs, databases, and system optimization. Expertise in software architecture and Agile development using key technologies such as Node.js (NestJs, ExpressJs), React Native, TypeScript, and JavaScript. Proficient in CI/CD with CircleCI, containerization with Docker, and cloud deployment on AWS and GCP. Demonstrable success in leading development projects and teams, evidenced by the delivery of scalable and performant web/mobile applications and innovative software solutions. Holds a Bachelor's degree in Business Information Technology from the Technical University of Kenya.

Data Lake

Data Lake

TypeScript

TypeScript

JavaScript

JavaScript

Node.js

Node.js

Express

Express

NestJS

NestJS

Vitalii I., Data Lake Developer

- With over 12 years of growth marketing experience and 4+ years of specializing in web3 companies, brings hands-on expertise across diverse crypto verticals including exchanges, online casinos, crypto products, b2b solutions, and P2E gaming. - Data-driven marketing strategies have delivered proven results for blockchain startups and web3 companies targeting key geographies like the USA, Europe, China, Philippines, former Soviet Union countries, the UK, Australia, Canada, the specializing Middle East, and Scandinavia. - As a strategic marketing leader, exceling at capturing attention, building trust, and accelerating revenue across these global markets. - Analytical approach couples creative thinking with rigorous optimization across acquisition channels, empowering brands to scale strategically. - Collaboration with multiple blockchain projects double their business, increase revenue by millions, and rapidly grow users in target regions through my nuanced understanding of local cultures and buyer mindsets.

Data Lake

Data Lake

Data Scraping

Data Scraping

NFT marketplace

NFT marketplace

Marketing research

Marketing research

Marketing strategies

Marketing strategies

web3

web3

Joshua Emmanuel

Joshua Emmanuel, Data Lake Developer

Software Engineer with over 4 years of experience specializing in mobile application development across various platforms. Expertise in programming languages such as Dart, Kotlin, Swift, and Java, complemented by proficiency with frameworks like Flutter, SwiftUI, and React. Demonstrated ability to lead mobile projects to successful delivery, evidencing solid skills in the Software Development Life Cycle, Test-Driven Development, and Agile methodologies. Backed by a strong academic foundation with a BSc in Information Technology and training in Software Engineering from NIIT. Notable achievements include the independent development of a school management platform app and spearheading the creation of a fintech product to MVP.

Data Lake

Data Lake

Dart

Dart   4 yr.

Kotlin

Kotlin   4 yr.

Swift

Swift   4 yr.

Java

Java   4 yr.

JavaScript

JavaScript   4 yr.

Mykhailo V.

Mykhailo V., Data Lake Developer

- A Software Engineer with over 10 years of development experience in the IT industry - 5+ years of experience with MS Dynamics 365 - Most of experience is related to the .NET platform and C# language, both in client and server-side development - Solid experience working with cross-application integrations. - Advanced English

Data Lake

Data Lake

.NET

.NET

MS Dynamics 365

MS Dynamics 365

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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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FAQs on Data Lake Development

What is a Data Lake Developer? Arrow

A Data Lake Developer is a specialist in the Data Lake framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Lake Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Lake Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Lake Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data Lake, then hiring a Data Lake Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Lake Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Lake Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data Lake Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data Lake Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Lake Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data Lake Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data Lake Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Data Lake used?

How and where
  • Data Storage: Storing vast amounts of data
  • Data Analytics: Analyzing large datasets
  • Data Integration: Combining data from various sources
  • Machine Learning: Training models on big data
  • Real-time Processing: Processing data in real-time
  • Data Exploration: Exploring data for insights
  • Data Archiving: Archiving historical data
  • Data Backup: Backing up critical data
  • Data Security: Securing sensitive data
  • Data Governance: Ensuring data compliance

Compare Junior, Middle, Senior, and Expert/Team Lead Data Lake Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 years
  • Assist in data ingestion
  • Support data cleansing
  • Basic data analysis
50,000
Middle3-5 years
  • Develop data pipelines
  • Optimize data storage
  • Implement data security
75,000
Senior5-8 years
  • Lead data architecture design
  • Manage data governance
  • Oversee data lake performance
100,000
Expert/Team Lead8+ years
  • Define data strategies
  • Guide team on best practices
  • Collaborate with stakeholders
150,000

Quick Facts about Data Lake.

Facts about
  • Data Lake Software Development was born in 2010.
  • The most popular project types include big data analytics.
  • The entry threshold for this technology is understanding data architecture.
  • Hadoop is the most popular related technology in this field.
  • Fun Fact: Data lakes can store massive amounts of unstructured data.

TOP Data Lake Related Technologies

Related Technologies
  1. Apache Hadoop
  2. Amazon S3
  3. Google Cloud Storage
  4. Microsoft Azure Data Lake Storage
  5. Snowflake
  6. Apache Spark
  7. IBM Cloud Object Storage
  8. Databricks
  9. AWS Glue
  10. Talend

What are top Data Lake instruments and tools?

Instruments and tools
  • Hadoop: The big elephant in the room by Apache, released in 2011.
  • AWS Glue: Amazon’s data prep and integration tool since 2016.
  • Azure Data Lake: Microsoft’s offering from 2016 for big data.
  • Google Cloud Dataflow: Data processing by Google since 2014.
  • Cloudera: The data management platform since 2008.

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