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Hire the top 1% of DataStage Developers

Madhav S

Madhav S

DataStage Developer

7+ years experience  •  Full-time availability

Verified Skills

check DataStage - 7 yrs | Expert
check Teradata - 7 yrs | Advanced

Other Skills

Data Warehouse Unix IBM DB2 Test Cases +3
Chetan  D

Chetan D

DataStage Developer

3+ years experience  •  Full-time availability

Verified Skills

check Teradata- 3 yrs | Expert
check Oracle SQL - 3 yrs | Expert

Other Skills

SQL Server Unix ETL Architect Java +3
Vijayashree S

Vijayashree S

DataStage Developer

4+ years experience  •  Full-time availability

Verified Skills

check ETL Architect- 4 yrs | Expert
check Unix - 4 yrs | Expert

Other Skills

TOAD Teradata Data Analys Aggregator +3
Sanjeev K

Sanjeev K

DataStage Developer

7+ years experience  •  Full-time availability

Verified Skills

check Teradata - 7 yrs | Expert
check Oracle SQL - 7 yrs | Expert

Other Skills

SQL Server DataStage 9.x IBM DB2 +3
Nikita A

Nikita A

DataStage Developer

7+ years experience  •  Full-time availability

Verified Skills

check Unix - 7 yrs | Expert
check PL/SQL - 7 yrs | Advanced

Other Skills

DataStage ETL SQL Teradata Test Cases +3
Samarth K

Samarth K

DataStage Developer

7+ years experience  •  Full-time availability

Verified Skills

check DataStage ETL- 3 yrs | Expert
check Oracle SQL - 3 yrs | Expert

Other Skills

SQL Server Unix Oracle 10G Java +3

Hire DataStage Developers For Work Like

From food to FinTech, thousands of companies use Supersourcing to hire, scale and grow faster.

Data migration

Data migration

DataStage can be used to extract data from legacy systems and load it into a new system, allowing organizations to upgrade or replace their existing systems without losing data.

Data warehousing

Data warehousing

DataStage can be used to extract data from transactional systems and load it into a data warehouse, where it can be transformed and stored in a format suitable for reporting and analysis.

Data integration

Data integration

DataStage can be used to integrate data from multiple sources, such as databases, flat files, and APIs, into a single system or data repository.

Business intelligence

Business intelligence

DataStage can be used to extract data from various sources and transform it into a format suitable for business intelligence and reporting tools, such as dashboards and data visualization software.

Big data

Big data

DataStage can be used to process and integrate large volumes of data from various sources, including structured and unstructured data.

Cloud integration

Cloud integration

DataStage can be used to integrate data from cloud-based sources and load it into a cloud-based data repository or data lake.

Frequently asked questions

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The entire process takes around 2-10 days. A clear job description and fast interview turnarounds can reduce this duration.

Supersourcing takes the responsibility of managing employees timesheet, availability. One Senior Account manager will be assigned to each project. We don't prefer bot on support. Our senior team is available even in weekends to support you in your business. Just an Email/WhatsApp away.

Firstly, we understand their technical knowledge through Mettl & HackerEarth. Secondly, we manually verify all data points through different sources to ensure the highest quality of talent.

We don't work with freelancers. We work with developers who are looking for full-time work but at different organisations. The verification interview is also done to ensure seamless compatibility with different companies.

Monthly to yearly, we have different options that companies can choose from.

We assign every company an account manager. Please do reach out to your point of contact to add and remove developers as per requirement.

Yes you can hire them on permanent basis, after 6 months of contact pay one fixed finding fees and hire them on your payroll, Try before you buy. We are really flexible depends on your need.

We recently started in Metro cities in India and Globally; Check with sales team for feasibility! So far we deployed only 700 engineers at location.

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Other Platforms Vs Supersourcing

Sourcing

Duration 10 Days

Posting your requirement in multiple job Boards

You have to create an account in multiple job boards and paying for its subscription

Sourcing process illustration Sourcing process illustration
Duration 1 Day

Just share your requirements with us

Role • Experience • Communication • Technical Skills • Etc.

Souring process illustration Souring process illustration

Screening & Assessment

Duration 20 Days

Spending your enormous time in screening unskilled candidates

You will be wasting most of your time and money in the screening process

Screening & Assessment process illustration Screening & Assessment process illustration
Duration 2 Days

Our AI will do the screening and match the top 1 profile for you

Programming

Communication

Situation-Based Questions

Only 3% of programmers can crack

Super curated profiles don't require interviews. 100% matching with your requirement. Supersourcing guarantees quality.

Screening & Assessment process illustration Screening & Assessment process illustration

Onboarding

Duration 10 Days

Onboarding

After completing all the steps, you will send an offer letter to the candidate, unsure of whether they will accept it or not.

Onboarding process illustration Onboarding process illustration
Duration 2 Days

Our team will take care of everything

Onboarding Support

Dedicated Account Manager

Standard Timesheet

Timely Productivity Reports

Onboarding process illustration Onboarding process illustration

Traditional method of Hiring is slow, costly with no guarantee of joining

Time Spent

30 Days

Hiring Cost

$30,000+

Supersourcing is smart, technology driven and designed for future

Less than a week

5 Days

Zero upfront cost

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DataStage Developers

What is DataStage?

IBM DataStage is a data integration tool that is used to build ETL (extract, transform, load) processes for extracting data from various sources, transforming it into a desired format, and loading it into a target system or database. It is designed to handle large volumes of data and can be used to support a variety of data integration scenarios, including data warehousing, data lake development, and data migration. DataStage supports a wide range of data sources and targets and includes features such as data cleansing, data transformation, and data quality. It can be used in a standalone configuration or as part of a broader data integration platform, such as IBM Information Server.

Why Hire DataStage Developers?

DataStage developers can help with the design, development, and maintenance of data integration and ETL (extract, transform, load) processes. They can assist with integrating data from various sources and making it available for analysis and reporting. Additionally, they can help ensure data quality and integrity by implementing data validation and error handling. To hire DataStage developers can help you efficiently and effectively manage and utilize your data.

There are several reasons why someone might hire DataStage developers:

  • A DataStage developer has expertise in working with the IBM DataStage platform, which is a powerful tool for extracting, transforming, and loading data.
  • DataStage developers can help organizations to build and maintain data pipelines that move data between different systems and applications in a reliable and efficient way.
  • DataStage developers can also help organizations to integrate their data with the cloud, allowing them to take advantage of the scalability, flexibility, and cost-effectiveness of cloud computing.
  • DataStage developers can also help organizations to build data lakes and data warehouses, which are critical for storing, organizing, and analyzing large volumes of data.
  • Finally, DataStage developers can help organizations to build data-driven applications and services, which can be used to drive business growth and innovation.

DataStage Developers Roles and Responsibilities

A DataStage developer is responsible for designing, building, and maintaining data pipelines and integration solutions using the IBM DataStage platform. Some specific responsibilities of a DataStage developer might include:

  • Designing and implementing data pipelines to extract, transform, and load data from a variety of sources, including databases, applications, and flat files.
  • Building custom integrations with DataStage using programming languages such as Java or C#.
  • Working with data architects and analysts to design and implement data models and data warehouse structures.
  • Creating and maintaining documentation for data pipelines and integrations, including flow diagrams, technical specifications, and test plans.
  • Troubleshooting and debugging issues with data pipelines and integrations.
  • Collaborating with other developers and stakeholders to ensure that data pipelines and integrations meet the needs of the business.
  • Keeping up to date with new features and capabilities in DataStage and other related technologies.

Cost of Hiring DataStage Developers

The cost of hiring a DataStage developer will depend on a variety of factors, including the individual's level of experience, education, and location. In general, DataStage developers with more experience and specialized skills will command higher salaries than those with less experience or more general data skills. The specific job market and the demand for DataStage developers in a given location will also impact the cost of hiring a DataStage developer. According to salary data from Glassdoor, the average salary for a DataStage developer in the United States is around $94,000 per year. However, this number can vary significantly based on the factors mentioned above.

DataStage Developers Interview Questions and Answers

What is DataStage?

DataStage is a data integration tool that is used to extract, transform, and load data from various sources to a target system. It is designed to handle large volumes of data and can be used to build scalable, high-performance data pipelines.

What is a DataStage job?

A DataStage job is a set of instructions that define the steps for extracting, transforming, and loading data. A job can be simple, with just a few steps, or more complex, with multiple stages and tasks.

What is a DataStage sequence job?

A DataStage sequence job is a type of job that executes a series of related tasks in a specific order. A sequence job can include a combination of DataStage stages and activities, as well as system commands and shell scripts.

What is a DataStage parallel job?

A DataStage parallel job is a type of job that divides the data into multiple streams and processes each stream concurrently, using multiple nodes in a parallel processing environment. Parallel jobs are typically used to improve the performance of data integration tasks.

FAQ on Hiring DataStage Developers

1. What is the demand for DataStage developers like?

It is generally considered that the demand for DataStage developers is strong, as DataStage is a widely-used data integration tool in a variety of industries. Data integration and ETL (extract, transform, and load) skills are in high demand as organizations continue to collect and process increasing amounts of data from a variety of sources.

2. How do DataStage developers compare to other types of data professionals in terms of salary?

In general, data professionals with specialized skills and experience in tools such as DataStage tend to command higher salaries than those with more general data skills. According to salary data from Indeed, the average salary for a DataStage Developer in the United States is $98,045 per year as of January 2021. This is higher than the average salary for a data engineer ($92,045 per year) and a data analyst ($68,478 per year), but lower than the average salary for a data scientist ($117,345 per year).

3. What qualities should we look for in a DataStage developer?

  • Technical skills: A strong foundation in data integration concepts and experience with DataStage is essential for a DataStage developer. This may include experience with DataStage Designer, Director, and other related tools.
  • Problem-solving skills: Data integration can often involve complex problem-solving, particularly when dealing with large volumes of data or data from multiple sources. Look for a developer who is able to approach problems in a logical and analytical way.
  • Communication skills: A DataStage developer may need to work closely with a variety of stakeholders, including business users, data analysts, and IT staff. Good communication skills are important in order to effectively translate business requirements into technical solutions.
  • Attention to detail: Data integration projects often involve working with large volumes of data and can be sensitive in nature. A developer with strong attention to detail will be able to ensure the accuracy and completeness of the data being processed.
  • Team player: DataStage projects may involve working with a team of developers, data analysts, and other professionals. Look for a developer who is able to work effectively in a team environment and contribute to the overall success of the project.

4. Where to find DataStage developers?

There are a few different ways that you can find DataStage developers for your organization:

  • Supersourcing: Supersourcing is the best platform to find fully vetted DataStage developers in 48 hours.
  • Online job boards: You can search for DataStage developers on online job boards such as LinkedIn, Indeed, or Monster. You can also use these platforms to post job openings and attract candidates.
  • Recruitment agencies: Working with a recruitment agency can be a good way to find DataStage developers with specialized skills and experience. The agency will handle the candidate search and selection process, allowing you to focus on other tasks.
  • Professional organizations: Consider joining professional organizations or networking groups related to data integration and DataStage. This can be a good way to connect with potential candidates and learn about job opportunities.
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