Senior Data Engineer

4 weeks ago

Hyderabad, India V3 Staffing Solutions India P Limited Full time

We have this opening with the global company that is shaping the future of gaming through groundbreaking technology and unparalleled creativity.


Senior Data Engineer (AWS): Crafting Efficient Data Pipelines for Cloud Platforms


We're seeking a seasoned Senior Data Engineer with over 9 years of hands-on experience in crafting and implementing highly efficient ETL processes and robust data pipelines. If you're passionate about architecting scalable solutions and thrive in the dynamic realm of cloud technologies, this role is tailored for you.


Key Responsibilities:

  • Design and Implementation: Lead the design and implementation of cutting-edge ETL processes and data pipelines, ensuring optimal performance and reliability.
  • Framework Development: Spearhead the development of generic frameworks tailored for data ingestion and processing on cloud-based platforms, fostering efficiency and reusability across projects.
  • Streaming Integration: Bring your expertise in streaming-based integration patterns and stream processing to the forefront, driving real-time data processing capabilities.
  • AWS Proficiency: Leverage your broad experience with AWS technologies, particularly DynamoDB, Glue, Athena, EMR, Redshift, Lambda, and Kinesis, to architect robust and scalable solutions.
  • Python Mastery: Showcase your proficiency in Python, with a focus on PySpark, Spark SQL, and Databricks, to elevate data processing capabilities to new heights.
  • CI/CD and DevOps: Play a pivotal role in CI/CD platform setup and deployment pipeline design, utilizing tools such as JFrog, Terraform, GitHub Actions, and Sonar, along with adeptness in Shell Scripting and Unit/Integration Testing.
  • SQL Optimization: Demonstrate expert-level skills in writing and optimizing SQL queries, ensuring efficient data retrieval and manipulation.
  • Scalable Warehousing Solutions: Architect scalable data warehousing solutions that cater to evolving business needs, driving actionable insights and informed decision-making.
  • Agile and DevOps Practices: Embrace Agile software development and DevOps practices, fostering a culture of collaboration, innovation, and continuous improvement.
  • Effective Communication: Collaborate seamlessly with technical and business teams, communicating effectively to bridge the gap between requirements and technical implementations.
  • Data Expertise: Leverage your deep expertise in managing and utilizing large datasets across diverse data platforms, unlocking the full potential of data-driven strategies.


Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Extensive hands-on experience (9+ years) in data engineering roles, with a focus on cloud platforms.
  • Proven track record of designing and implementing scalable data pipelines and warehousing solutions.
  • Strong proficiency in Python, SQL optimization, and AWS technologies.
  • Familiarity with CI/CD practices and DevOps methodologies.
  • Excellent communication and collaboration skills.


If you're ready to embark on a journey of innovation and transformation in the realm of data engineering, join us in shaping the future of our cloud data platform.

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