Big Data Engineer

1 week ago

Pune, Maharashtra, India Techno Wise Full time

Job Role :
Big Data Engineer

Relevant Experience : 3+ years

Location :
Navi Mumbai /Bengaluru/Pune

Notice Period :
Immediate or serving Notice Period

Primary Skills :
Big Data, PySpark, Cloud- Azure or AWS, Databricks, SQL, Python

Overview :
We are seeking a talented Big Data Engineer proficient in PySpark to join our dynamic team.

The ideal candidate will play a pivotal role in designing, implementing, and maintaining scalable data solutions leveraging the Big Data technologies like PySpark.

This role requires a strong understanding of big data technologies, data engineering best practices, and the ability to collaborate effectively with cross-functional teams.


Responsibilities :

  • Design, develop, and implement end-to-end data pipelines using PySpark to process, cleanse, and transform large-scale datasets.
  • Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical solutions.
  • Optimize and tune Spark jobs for performance and scalability, ensuring efficient resource utilization and processing speed.
  • Develop and maintain data ingestion processes from various sources such as databases, streams, and file systems into the Databricks environment.
  • Implement data quality checks and validation processes to ensure the accuracy, completeness, and reliability of the data.
  • Have worked on Data Orchestration Tools like Airflow.
  • Working on story\task using Agile Methodology.
  • Must have hand-on on GitHub and GitLab
  • Work closely with DevOps teams to automate deployment processes and ensure the reliability and availability of data pipelines.
  • Monitor, troubleshoot, and resolve issues related to data pipeline failures, performance degradation, and system errors.
  • Stay updated on emerging technologies and industry trends in big data, distributed computing, and cloud platforms to drive continuous improvement and innovation.
  • Implementing Data Solutions by using Azure Services like Azure Data Factory.
  • Creating Data Pipelines using Notebooks using different Clusters in Databricks.

Qualifications :

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Big Data Engineer with expertise in building and optimizing data pipelines using PySpark.
  • Strong programming skills in Python and proficiency with SQL for data manipulation and analysis.
  • Familiarity with distributed computing frameworks like Hadoop, Scala.
  • Hands-on experience with cloud platforms such as Azure or AWS.
  • Working experience on Databricks
  • Excellent problem-solving skills and the ability to work independently as well as collaboratively in a fast-paced environment.
  • Effective communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Benefits You'll Get :

  • Unlimited opportunities to learn on our multiple Training Platforms
  • Certifications Reimbursement
  • Flexibility
  • Opportunity to work on multiple technologies
  • Medical Coverage &Life Insurance
  • Company Events and Outings
  • Tech Thursdays and Fun Fridays
  • 5 days working
  • Work-Fun Environment
)

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