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Highlights
- DataOps is an evolving methodology that integrates data, teams, tools, and processes to create an efficient and successful data-driven organization.
- A passionate data engineer can leverage Scala/Python/SparkSQL skills to do complex transformations using StreamSets Transformer.
- TCS employees get a chance to upskill themselves in DataOps through in-house training.
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Introducing DataOps
One of the key imperatives for enterprises to flourish is data analytics, and it takes a lot of collaborative data management and cross-functional analytics for organizations to be data-centric. Enter DataOps, an evolving methodology that integrates data, teams, tools, and processes to create an efficient and successful data-driven organization.
Before we start detailing the merits of a career in DataOps, let us catch a glimpse of the technology landscape in the past one-and-a-half decades. An expert in web technologies such as .NET or Java was the most sought-after candidate until 2005. However, the prospects for this candidate dwindled by 2015 because, by then, there were a few lakh Java or .NET experts. By the beginning of the last decade, big data had emerged significantly. Additionally, in 2015, the developers in demand were the ones who knew how to work with Hadoop, Hive, Impala, Pig, or Spark.
Why DataOps
DataOps has been one of the most sought-after technologies since the start of this decade. Data is regarded as the new oil, and rightly so. Hence, global enterprises are trying to harness its enormous benefits. Big data systems help us work with a large amount of data. Cloud is for future storage requirements, while Containers and DevOps help us work with data at a faster pace. But what do we do with data in the legacy enterprise warehouses? Does it need to be discarded? Certainly not. So, how do we transfer it to the cloud? This is where DataOps comes to our rescue.
The road ahead
One company that has become synonymous with DataOps is StreamSets. Its products – Control Hub, Data Collector, and Data Transformer – have revolutionized the way we can work with data; they have democratized data. A developer, business analyst, DBA, data scientist, or even someone without any coding background can easily pull data from various databases, move it to a big data lake or cloud data lake, and start working on AI/ML models, Excel, tableau reports, etc. If you are a passionate data engineer, you can leverage your Scala/Python/SparkSQL skills to do complex transformations using StreamSets Transformer in a much faster and easier way.
All of this sounds too good to be true, doesn’t it? Trust me, while it may seem daunting, it is easy to learn and work with. So, here’s the big question: are you willing to learn a technology that is taking the market by storm? It is even more encouraging to learn DataOps because there are very few developers trained in it across the world, despite a huge demand for it.
DataOps at TCS
Here are some exciting positions at TCS to further your career in DataOps:
- Data engineer
- Data architect
- StreamSets developer
- Platform engineer
- Platform architect
The opportunities in DataOps at TCS are enriching if you’re looking to build a fulfilling career in information technology. TCS employees get a chance to upskill themselves in DataOps through in-house training. They also get to deploy the learnings in real-time projects. We are partnering with several customers across geographies to scale up with DataOps. You, too, can reap the abundant benefits of a DataOps career by joining the TCS family. To know more about the fulfilling and rewarding opportunities at TCS, visit https://ibegin.tcs.com/iBegin/.
It would be great to know your thoughts and insights about this blogpost. Please share your views via an email to careers@tcs.com.
We wish you the very best in your career.
About the author
Image of Karthik Rajamani
Karthik Rajamani
A product manager for TCS Analytics and Insights, Karthik Rajamani has donned various hats in his over 15-year career in the IT industry. Holding a BTech degree in IT, Karthik has worked across Public Services, High Tech, Life Sciences, Health Care, and BFSI industry verticals. He loves reading, learning new languages, and working with people to bring a multi-dimensional view to a problem.
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