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The need for talented data engineers who can design, construct, and manage the systems that enable efficient data analysis has increased rapidly as organisations continue to acquire and store enormous volumes of data. These are the people who extract useful insights and make informed decisions based on data-driven analysis by efficiently managing and optimising data infrastructure.
Data engineering, as a field, is expanding at a rapid rate and is a pretty lucrative one at the moment due to the rising demand for data-driven insights and ever-growing technology. Let’s take a look at 10 companies that are currently hiring data engineers.
Microsoft
Microsoft’s data and insights team is looking for a Data Engineer who is customer-obsessed with a growth mindset. The role demands managing data architecture, ensuring data quality and compliance, and working with other teams at Microsoft to improve customer opportunities and revenue growth. Applicants should have a bachelor’s or master’s degree in a related field, and at least two years of industry experience. Experience with big data technologies, data analytics tools, and data visualisation is preferred. The position is available in Bangalore or remotely.
Apply here.
Read more: Data Science Hiring Process at Livspace
Google is hiring for the role of Data Scientist (business and marketing). The ideal candidate must have a bachelor’s degree in computer science or equivalent subject, more than eight years of experience in data science and web technologies like HTML, CSS, JavaScript, and HTTP, and experience in customer-centric roles. As a member of gTech’s product and tools operations team, the successful candidate will be responsible for analysing data, building models, collaborating with cross-functional teams, and communicating insights to stakeholders. The position is open in Gurgaon, Hyderabad, or Bangalore.
Learn more about the job here.
Apple
Apple is hiring a Search Software Engineer for their applied machine learning search team. The position will need the candidate to design and develop large-scale, distributed, and highly available systems and pipelines using Java tech stack. The ideal candidate should have over three years of experience working in Java and web services, in the search domain, and proven skills in designing scalable, highly available distributed systems that can handle high data volumes. The candidate should also have a deep understanding of information retrieval concepts and linguistic processing like tokenizers, speller, and stemmers. The position is open in Bangalore.
You can apply here.
Read more: Can Apple Draw Better Maps than Google?
Pfizer
Research-based biopharmaceutical company Pfizer is seeking to add a Senior Associate Analytics Engineer to their data science industrialization team who can seamlessly build and automate high-quality data pipelines for advanced analytics, AI, ML, and other business applications. The ideal candidates should have a bachelor’s degree in analytics engineering or a related field with over two years of work experience, hands-on skills in analytics engineering, cloud-based analytics ecosystem, data ingestion, warehousing, and data model concepts, and proficiency in SQL and Python. The job location is flexible.
Airtel
We also have Wynk, Airtel‘s music streaming platform, looking for an experienced Data Engineer to join their data platform team in Gurgaon in a hybrid work setup. This mid-senior level position involves developing and maintaining a reliable, scalable, and efficient data pipeline. The ideal candidate should have at least five years of experience in Spark and Scala, along with excellent data structures and algorithm skills, and is comfortable working with Hadoop, Pig, Hive, Storm, and SQL. Besides this, they should be able to handle massive amounts of data daily and have a relevant degree in computer science or software engineering from a premier institute.
Click here to apply.
IBM
Big Blue IBM is on the lookout for a Data Engineer who can develop, test, and support data solutions for customers across different industry verticals. They must also understand data architectures, platforms, governance, and information management. The ideal candidate should have at least three years of related experience, be skilled in modelling, cloud-based ETL services, TSQL code writing, and data warehouse schemas, among others. The candidate should be an excellent communicator and be able to manage competing priorities and delegate as and when required. The entry-level role requires a relevant bachelor’s degree.
Apply here.
Nike
Global apparel brand Nike is hiring a skilled Data Engineer who has programming and big data skills, and enjoys working in a fast-paced environment, for its enterprise data and analytics team. The Bangalore-based position needs designing and building simple reusable components, implementing product features, enhancing data quality, and supporting data management projects. The ideal candidate should have a bachelor’s degree in computer science, with more than two years of experience developing data and analytics solutions, and must be a quick learner. Furthermore, they should be familiar with workflow scheduling tools, source control tools, scripting languages, relational SQL, and building data lake solutions with AWS, EMR, S3, Hive, and Spark.
Check out Nike’s career page for more details.
JP Morgan Chase & Co
Financial giant JP Morgan Chase & Co is on a hunt for an SQL Developer to join its centralised data architecture team. The ideal candidate should be comfortable with data, have knowledge in building cloud-based applications, and experience building consolidated data models. They will be in charge of data analysis, data opportunity identification, development of consolidated data models, and cloud-based application creation. The candidate must possess technical proficiency in building dimensional data models, ELT/ETL procedures, experience with SQL and Python, and familiarity with MPP databases and big-data (Hadoop).
Visit here to apply.
Qualcomm
Qualcomm is hiring a Machine Learning Systems Engineer with the knowledge of deep learning frameworks such as Keras, TensorFlow, ONNX, PyTorch, and Caffe/Caffe2. This position needs someone with practical expertise creating CNNs and RNNs/LSTMs as well as other neural network architectures for CV, NLP, and NLG models. Excellent Python and C++ programming knowledge as well as knowledge of data structures and algorithms are important. Preferred skills would include experience of GPUs, machine learning accelerators, and related software. The applicant should hold a bachelor’s, master’s, or a PhD in engineering, machine learning/artificial intelligence, information systems, computer science, or a related discipline, as well as at least three years of experience in software engineering. The location for this position is Bangalore.
Apply here.
Deloitte
Deloitte is looking for a Data Engineer for their analytics & forensic technology practice and work on their new Anti-Fraud Waste and Abuse solution (AFES). AFES is responsible for detecting fraud, waste, and abuse in different industries using machine learning and state-of-the-art technology. The ideal candidate should have experience developing solutions with an agile development team, defining, producing, testing, reviewing, and debugging solutions, and creating component-based features and micro-frontends. Preferred qualifications comprise experience in Azure DevOps, data streaming, big data technologies, and business intelligence tools. The candidate should have a bachelor’s or master’s qualification. This position is based in Kolkata.
Click here to know more.
