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Big Data Engineer

2 weeks ago

Delhi NCR, India Qcentrio Full time US$ 1,50,000 - US$ 2,00,000 per year

Work Location : Pan India

Experience : 6+ Years

Notice Period : Immediate - 30 days

Mandatory Skills : Big Data, Python, SQL, Spark/Pyspark, AWS Cloud

JD and required Skills & Responsibilities :

  • Actively participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing, roll-out, and support.

  • Solve complex business problems by utilizing a disciplined development methodology.

  • Produce scalable, flexible, efficient, and supportable solutions using appropriate technologies.

  • Analyse the source and target system data. Map the transformation that meets the requirements.

  • Interact with the client and onsite coordinators during different phases of a project.

  • Design and implement product features in collaboration with business and Technology stakeholders.

  • Anticipate, identify, and solve issues concerning data management to improve data quality.

  • Clean, prepare, and optimize data at scale for ingestion and consumption.

  • Support the implementation of new data management projects and re-structure the current data architecture.

  • Implement automated workflows and routines using workflow scheduling tools.

  • Understand and use continuous integration, test-driven development, and production deployment frameworks.

  • Participate in design, code, test plans, and dataset implementation performed by other data engineers in support of maintaining data engineering standards.

  • Analyze and profile data for the purpose of designing scalable solutions.

  • Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues.

Required Skills :

  • 5+ years of relevant experience developing Data and analytic solutions.

  • Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive & PySpark

  • Experience with relational SQL.

  • Experience with scripting languages such as Python.

  • Experience with source control tools such as GitHub and related dev process.

  • Experience with workflow scheduling tools such as Airflow.

  • In-depth knowledge of AWS Cloud (S3, EMR, Databricks)

  • Has a passion for data solutions.

  • Has a strong problem-solving and analytical mindset

  • Working experience in the design, Development, and test of data pipelines.

  • Experience working with Agile Teams.

  • Able to influence and communicate effectively, both verbally and in writing, with team members and business stakeholders

  • Able to quickly pick up new programming languages, technologies, and frameworks.

  • Bachelor's degree in computer science