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SPARK Data Onboarding Engineer Job Opening In India, India – Now Hiring Confidential


Job description

We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform.

You will be responsible for designing, implementing, and maintaining PySpark-based applications to handle complex data processing tasks, ensure data quality, and integrate with diverse data sources.

The ideal candidate possesses strong PySpark development skills, experience with big data technologies, and the ability to work in a fast-paced, data-driven environment.

Key Responsibilities: Data Engineering Development:

  • Design, develop, and test PySpark-based applications to process, transform, and analyze large-scale datasets from various sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
  • Implement efficient data transformation and aggregation using PySpark and relevant big data frameworks.
  • Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience within Spark jobs.
  • Optimize PySpark jobs for performance, including partitioning, caching, and tuning of Spark configurations.

Data Analysis and Transformation:

  • Collaborate with data analysts, data scientists, and data architects to understand data processing requirements and deliver high-quality data solutions.
  • Analyze and interpret data structures, formats, and relationships to implement effective data transformations using PySpark.
  • Work with distributed datasets in Spark, ensuring optimal performance for large-scale data processing and analytics.

Data Integration and ETL:

  • Design and implement ETL (Extract, Transform, Load) processes to ingest and integrate data from various sources, ensuring consistency, accuracy, and performance.
  • Integrate PySpark applications with data sources such as SQL databases, NoSQL databases, data lakes, and streaming platforms

Qualifications and Skills:

  • Bachelors degree in Computer Science, Information Technology, or a related field.
  • 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
  • Strong understanding of data processing principles , techniques, and best practices in a big data environment.
  • Proficiency in PySpark, Apache Spark, and related big data technologies for data processing, analysis, and integration.
  • Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills to work effectively with data analysts, data architects, and other team members.

Role: 

Industry Type: 

Department: 

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate


Skills Required
Data Analysis, Analytical, Data Structures, Data Quality, Data Processing, Information Technology, Apache, Sql, Computer Science, Analytics

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your SPARK Data Potential: Insight & Career Growth Guide


Real-time SPARK Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for SPARK Data in India, India, highlighting market share and opportunities for professionals in SPARK Data roles.

138460 Jobs in India
138460
9467 Jobs in India
9467
Download Spark Data Jobs Trends in India and India

Are You Looking for SPARK Data Onboarding Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.

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Confidential interview tips for SPARK Data Onboarding Engineer

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Before the Interview:

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Other Openings

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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To prepare for your SPARK Data Onboarding Engineer interview at Confidential, research the company, understand the job requirements, and practice common interview questions.

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