Lead Data Engineer

Hyderabad, TS, India

Blend360

Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.

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Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

You will be a part of our Data Engineering team and will be focused on delivering exceptional results for our clients. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. You’ll work with the team to deliver, migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies including AWS, Azure, GCP, Spark, Hadoop, etc.

What you’ll be doing?

  • Develop data pipelines to move and transform data from various sources to data warehouses
  • Ensure the quality, reliability, and scalability of the organization's data infrastructure
  • Optimize data processing and storage for performance and cost-effectiveness
  • Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and develop solutions to meet their needs
  • Continuously monitor and troubleshoot data pipelines to ensure their reliability and availability
  • Stay up to date with the latest trends and technologies in data engineering and apply them to improve our data capabilities

Qualifications

  • Bachelor’s degree in computer science, Software Engineering, or a related field
  • 6+ years of experience in data engineering or a related field
  • Strong programming skills in Python or Scala or Java
  • Expert SQL skills and a good understanding of existing SQL warehouses
  • Familiarity with big data technologies like Hadoop, Spark, or Hive
  • Experience with cloud-based data storage and processing platforms like AWS, Azure, or GCP
  • Strong problem-solving and communication skills

Additional Information

What do you get in return?

  • Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
  • Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
  • Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
  • Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
  • Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
  • Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
  • Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Big Data Computer Science Data pipelines Engineering GCP Hadoop Java Pipelines Python Scala Spark SQL

Perks/benefits: Competitive pay Startup environment

Region: Asia/Pacific
Country: India

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