Data Architectural Expert

1 week ago

Thiruvananthapuram, Kerala, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Are you passionate about building scalable data solutions in the cloud?

A Data Engineer plays a pivotal role in designing and implementing cutting-edge data architectures that drive business growth.

Key Responsibilities

  • Breathe life into robust ETL pipelines using PySpark and AWS Glue, ensuring seamless data flows and unwavering quality.
  • Collaborate with analysts and stakeholders to ensure data accuracy and availability, fostering a culture of transparency and trust.
  • Elevate your SQL game by writing and optimizing queries for efficient data transformation, pushing the boundaries of what's possible.
  • Stay on top of code management with Git, effortlessly collaborating with team members and tracking changes.
  • Unlock the full potential of data lakes with AWS S3 and related services, designing and managing scalable infrastructure that meets the needs of the business.
  • Leverage Amazon DynamoDB and Redshift for high-performance data storage, driving insights and decisions with unparalleled speed and accuracy.
  • Create interactive dashboards that captivate and inform, harnessing the power of Amazon QuickSight to tell stories and drive action.
  • Simplify complex workflows with AWS Step Functions, Lambda, and EventBridge, automating processes and freeing up time for strategic initiatives.
  • Monitor and optimize data workflows for peak performance and scalability, staying ahead of the curve and exceeding expectations.

Qualifications

  • Bachelor's in Computer Science, Data Science, or related field (Master's preferred); a strong academic foundation is essential for success in this role.
  • Showcase your expertise in PySpark, Python, and SQL; hands-on experience is crucial for delivering high-quality results.
  • Demonstrate proficiency in Git and AWS services (Glue, S3, Lambda, Redshift, Athena, DynamoDB, etc.); a solid understanding of these technologies is vital for driving innovation.
  • Familiarity with Databricks and its ecosystem is a plus, as it can help you stay ahead of the curve and adapt to emerging trends.
  • Possess excellent problem-solving and communication skills, able to distill complex ideas into actionable insights and convey them effectively to stakeholders.
  • Thrives in a fast-paced, collaborative environment, where creativity and adaptability are key to driving success.

Preferred Skills

  • Data warehousing and data modeling expertise can take your career to the next level, helping you design and implement sophisticated data architectures.
  • Exposure to big data technologies like Hadoop and Spark can provide a competitive edge, enabling you to tackle complex data challenges with confidence.
  • AWS certifications in data engineering are highly valued, demonstrating your commitment to excellence and staying up-to-date with industry best practices.

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