DataOps jobs are in high demand from DataOps engineers to be well placed in the data-centric market

Data science offers a wide range of data engineering jobs and DataOps jobs across the world in the data-centric market. DataOps vacancies are opening in all tech and data-related companies that need effective database management in 2022 and beyond. DataOps jobs include multiple roles including a DataOps engineer to build data products and engineer the production department with database management. The global DataOps platform market size is expected to hit US$57.90 billion in 2030 at a CAGR of 24.2%. Data engineering jobs also include the DataOps engineer profession with lucrative salary packages per annum. DataOps vacancies can be searched on professional platforms such as LinkedIn and many more while receiving more data engineering jobs. Let’s explore some of the top ten DataOps jobs or DataOps vacancies to apply for in August 2022 to work for the effective database management system.

Top ten DataOps jobs in August 2022

DataOps engineer expert at Solvay

Location: Belgium/China/France/Portugal

Responsibilities: The engineer can take on the data-intensive portion of the data life cycle with a specific focus on automating jobs associated with cleaning, preparing, and wrangling the data within the data pipelines. It is essential to improve the availability, accessibility, and integration of data while implementing, maintaining, and supporting the platform data management environment(s) from ingestion to storage, encoding, preparation, and delivery to the respective users.

Qualifications: The candidate must have an Engineering degree with three years of experience as the specified role or five years of experience in DevOps implementation with a specialization in Ops than data and CI/CD.

Click here to apply

DataOps engineer at GeoPhy

Location: The Hague

Responsibilities: The engineer should help the development of infrastructure and framework for data quality assurance while contributing to decisions about the technology stack, particularly as it relates to end-to-end data flow and automation. It is essential to support the orchestration of data products by improving metadata solutions.

Qualifications: The candidate must have at least four years of experience in data engineering and software development with knowledge of SQL, Python, Scala, Spark, data modeling, Apache Airflow, and web applications.

Click here to apply

DataOps engineer at Adyen

Location: Amsterdam

Responsibilities: The engineer should create, maintain and iterate on the current data infrastructure, anticipate growth and look for structural changes required in the big-data offering at Adyen, as well as work closely with users of the data infrastructure and arrive at pragmatic solutions.

Qualifications: The candidate must have a solid background in designing, scaling, and maintaining data infrastructure solutions and sufficient knowledge of the Hadoop ecosystem (Hive, Yarn, HDFS) with Spark, and securing clusters with Ranger and Kerberos.

Click here to apply

DataOps engineer at Lenskart

Location: Bengaluru

Responsibilities: The engineer should ensure the performance, security, and availability of databases, and handle common database procedures, such as upgrade, backup, recovery, migration, etc. while profiling server resource usage, optimizing, and tweaking as necessary.

Qualifications: The candidate must have a strong knowledge of MySQL 5. x database management, Linux shell scripting, SQL and NoSQL databases, MongoDB, InnoDB, and many more.

Click here to apply

DataOps engineer at Jefferson Frank

Location: Oslo

Responsibilities: The engineer should help bring models into production and ensure they are running efficiently and securely, take care of the deployment of ML models in a live environment, as well as maintain an efficient and secure environment running in the Cloud.

Qualifications: The candidate must have an understanding of data science, data analytics, bash scripting, Terraform, Azure, networking, and security, as well as container technology.

Click here to apply

DataOps engineer at bubble

Location: Wokingham

Responsibilities: The role is for high visibility with end-to-end functionality with a greater level of verbal and written communication.

Qualifications: The candidate must have eight to ten years of experience in Azure DevOps, Data Bricks, ADF, Azure Integration, Docker, Kubernetes, OpenShift, ArgoCD, GitOps, Jenkins CI, and Ansible.

Click here to apply

DataOps engineer at E.ON Energie Deutschland GmbH

Location: Germany

Responsibilities: The engineer should continuously develop the modern data platform in the cloud with a focus on operation and the development and orchestration of ETL processes in cooperation with the data engineers. The duty also includes the provision and further development of monitoring, alerting and logging solutions for infrastructure, SaaS solutions and data pipelines.

Qualifications: The candidate must have a degree in computer science with sufficient experience in the Azure cloud components, CI/CD, Airflow, Python, SQL, Docker, Kubernetes, and other IT operations. It is necessary to know German at B2 level.

Click here to apply

DataOps engineer at FanDuel

Location: Remote in the UK

Responsibilities: The engineer should help in provisioning and maintaining infrastructure, building automated tools that will organize, model, and present data as a coherent product and offer it to stakeholders, as well as implementing data lake, warehouse, and lakehouse architectures leveraging the knowledge of data archiving and retrieval solutions.

Qualifications: The candidate must have a deep understanding of data lake permissions, AWS, GCP, data ingestion, SNS, SQS, Kafka, Spark, and IaC technology.

Click here to apply

DataOps engineer at Colgate-Palmolive

Location: Partial remote, New Jersey  

Responsibilities: The engineer should help establish DataOps platforms, processes, and frameworks to improve data quality and cycle times, and implement continuous integration and delivery of data pipelines while creating and implementing automated test frameworks for testing data pipelines.

Qualifications: The candidate must have a Bachelor’s degree in any technical field with strong computer science fundamentals, cloud data technologies, Java, Python, and SQL.

Click here to apply

DataOps engineer- data analytics platform at ING

Location: Poland

Responsibilities: The role is to help in building cloud-ready state-of-the-art data analytics platform with data analytics platform components development and maintenance, SecOps activities, as well as Infra-as-Code.

Qualifications: The candidate must have sufficient experience in big data tools, Infra-as-Code, data ingestion pipelines, ML models, Alluxio, Trino, Superset, and Hive.

Click here to apply

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The booming blockchain sector in Vietnam is having to deal with a serious deficit in specialists, local media revealed. Despite the large number of software engineers in the country, those with blockchain expertise meet less than a fifth of the current demand, with businesses already looking for talent abroad.

Fierce Competition for Blockchain Experts Among Vietnamese Companies

Vietnam is facing a lack of human resources hampering the advance of projects in its rapidly developing blockchain industry, the English-language portal Bizhub reported. The Southeast Asian country has plenty of capable software developers but few of them have the needed qualifications for distributed ledger technologies.

The shortages makes recruitment difficult and Vietnam doesn’t have many training programs to alleviate the problem, noted Trinh Ngoc Duc, chief executive of the company that developed the Fight of the Ages game. Quoted by the news outlet, he elaborated:

The scarcity of experienced blockchain programmers affects the product development process and leaves many potential projects unimplemented.

The deficit of blockchain specialists is already seen in many industries, including finance, education, healthcare, logistics, and agriculture. More than 50 sectors of the Vietnamese economy have started to apply blockchain solutions, with around 600 projects just in the Gamefi industry.

At the same time, existing talent can only meet between 15 and 20% of the demand, according to Kevin Tung Nguyen, CEO of Jobhopin. He, himself recently lost three employees who were offered payment three times higher than their remuneration at his company. The market is thirsty for blockchain programmers and competition for them is becoming fiercer, he commented.

Vietnamese Blockchain Companies Forced to Seek Foreign Experts to Fill Vacant Positions

Sourcing talent has become a major problem for many firms in Vietnam’s blockchain space which has been growing fast, confirmed Nguyen Thi Ngoc Dung from the National Innovation Center. Some companies have started to look for programmers in other countries, such as the United Arab Emirates, India, South Korea, and in Europe, she added.

Dung believes that one of the reasons is that Vietnamese universities are not teaching blockchain. She also thinks that innovation centers and successful startups should launch their own short-term courses for students and expand international cooperation.

A survey conducted by the Vietnamworks recruitment platform among more than 1,000 people working in the IT industry has revealed that blockchain engineers get the highest salaries. But Vietnam is not the only economy experiencing difficulties with finding enough blockchain talent. According to the professional social media network Linkedin, job postings with the keyword ‘blockchain’ in the U.S. increased by almost 400% in 2020-21.

Do you think Vietnam will be able to compensate for its deficit in blockchain developers through training programs? Share your thoughts on the subject in the comments section below.

Image Credits: Shutterstock, Pixabay, Wiki Commons, huntergol hp

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

Chief data scientist jobs are in high demand for the ample supply of sensitive data in 2022

Data science jobs are taking over the global tech market with different kinds of professional roles like chief data scientist jobs including senior data scientist, and other roles such as data analyst, data scientist, data engineer, and many more. There are multiple data science companies ready to open chief data scientist jobs with lucrative salary packages. There is a plethora of responsibilities for a senior data scientist in these big data jobs, the first is to drive actionable insights from different kinds of data structures. Big data jobs or data science jobs are helping a lot in driving customer engagement efficiently and effectively. Data science companies are leveraging BI tools and data visualization tools for data science jobs. These big data jobs are in high demand from aspiring data professionals with or without degrees. Thus, let’s look out for the top ten chief data scientist jobs that are available to apply for in 2022 as a senior data scientist.

Top ten chief data scientist jobs in 2022

Senior data scientist- Alexa Data Services at Amazon

Location: Hyderabad, India

Responsibilities: The data scientist needs to design and develop complex mathematical, statistical, and optimization models, apply them to define strategic and tactical needs and drive actions at scale with scientifically-based methods while designing experiments, testing hypotheses, and prototyping models with programming languages.

Qualifications: The candidate must have an M.S./Ph.D. in any technical field with more than five years of hands-on experience in the data science field, machine learning, forecasting models, and A/B testing.

Click here to apply

Senior data scientist at Nielsen

Location: Bangalore, India

Responsibilities: The data scientist should build measurement and planning solutions to support reproducible data science projects. It is essential to support research on methodology transforming the cross-platform audience measurement while addressing the quality escapes and fixing issues in production code.

Qualifications: The candidate must have a degree in any technical field with three to six years of hands-on experience with proficiency in Python, SQL, Git, cloud computing, Unix, and code documentation.

Click here to apply

Senior principal data scientist at Johnson & Johnson

Location: Bangalore, India

Responsibilities: It is essential to design and deploy machine learning-based solutions for development through the identification of the right approach, algorithms, and strategies. There should be teamwork for the identification of the data source as well as ingestion strategy pre-processing needs.

Qualifications: The candidate must have a minimum of a Bachelor’s degree in IT or any technical field with more than 12 years of experience in programming languages, data mining, BI tools, and machine learning techniques.

Click here to apply

Senior data scientist at Walmart Global Tech.

Location: Bangalore, India

Responsibilities: The data scientist should drive meaningful insights from terabytes of data by leveraging data science tools. It is needed to develop PoC to take forward the solutions into pipelines and APIs.

Qualifications: The candidate must have a Master’s degree like M.Sc. in Engineering or Technology with four years of practical experience or a Ph.D. in AI with proficiency in programming languages, machine learning libraries, and cloud computing.

Click here to apply

Senior data scientist at ECOLAB

Location: Bangalore, India

Responsibilities: The data scientist should build algorithms, statistical models, and analytical solutions, design data visualizations of data model performance, as well as be responsible for setting up the data analytics model design. The focus needs to be on the intensive use of significance testing, sampling, and descriptive as well as multivariate statistics.

Qualifications: The candidate must have a Bachelor’s degree in any technical field with sufficient experience in data management and data science field.

Click here to apply

Senior data scientist at Michelin

Location: Pune, India

Responsibilities: The data scientist should formalize the business needs in a descriptive datasheet with the implementation and documentation of data analysis. The models must be validated and decision deployment must be taken from the roll-out strategy.

Qualifications: The candidate must have a Bachelor’s degree in any technical field with sufficient experience in data management and data science field.

Click here to apply

BCAI- Data scientist/ Senior data scientist at BOSCH

Location: Bangalore, India

Responsibilities: It is essential to mine and analyze data by applying statistical methods, developing new metrics, and translating meaningful insights into actionable recommendations. There should be the development of customized data models and algorithms to create statistical models and optimize frameworks efficiently and effectively.

Qualifications: The candidate must have a Master’s/Ph.D. in any technical field with five to eight years of experience with Docker, API, web applications, BI tools, programming languages, data preparation, and machine learning algorithms.

Click here to apply

Senior data scientist at Colgate-Palmolive

Location: Mumbai, India

Responsibilities: The data scientist should focus on leading multifaceted analytic studies against large and small data volumes, co-developing an analytics roadmap for the business domain, interpreting and data analysis with exploratory statistical and mathematical techniques, as well as deploying end-to-end scalable models. It is essential to identify new data and optimally communicate the analytics approach.

Qualifications: The candidate must have a Bachelor’s/Master’s/Ph.D. in any technical field with a minimum of six years of experience in programming languages, data pipelines, supervised and unsupervised modeling, Bayesian statistics, and NLP.

Click here to apply

Senior staff data scientist at Swiggy

Location: Bangalore, India

Responsibilities: The data scientist is needed to drive critical data science projects to help in defining the vision and strategy for an MFP data science organization and build state-of-the-art solutions from open-ended and high-impact problems. There should be a contribution to the company with blogs, technical papers, and many more.

Qualifications: The candidate must have a Master’s/Ph.D. degree in any technical field with more than ten years in data science with proficiency in programming languages, big data tools, and logistics.

Click here to apply

Senior data scientist at Circle K Business Centre

Location: Gurugram, India

Responsibilities: The data scientist should analyze data by utilizing data mining, statistical, and machine learning techniques while applying algorithms or architectures. It is essential to utilize a cloud setup to extract processed data for statistical modelling and big data analysis while articulating complicated data science models.

Qualifications: The candidate must have a Bachelor’s/Master’s degree in any technical field with four to six years of working experience and knowledge of functional analytics, statistical modelling, BI, and big data technologies.

Click here to apply

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