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PySpark Developer
PySpark DeveloperRecruitment Hub 365 • Chennai
PySpark Developer

PySpark Developer

Recruitment Hub 365 • Chennai
9 days ago
Job description

Job Title : PySpark Developer

Location : Chennai, Hyderabad, Kolkata

Work Mode : Monday - Friday (5 days WFO)

Experience : 5+ Years in Backend Development

Notice Period : Immediate to 15 days

Must-Have Experience : Python, PySpark, Amazon Redshift, PostgreSQL

About the Role :

We are looking for an experienced PySpark Developer with strong data engineering capabilities to design, develop, and optimize scalable data pipelines for large-scale data processing. The ideal candidate must possess in-depth knowledge of PySpark, SQL, and cloud-based data ecosystems, along with strong problem-solving skills and the ability to work with cross-functional teams.

Roles & Responsibilities :

  • Design and develop robust, scalable ETL / ELT pipelines using PySpark to process data from various sources such as databases, APIs, logs, and files.
  • Transform raw data into analysis-ready datasets for data hubs and analytical data marts.
  • Build reusable, parameterized Spark jobs for batch and micro-batch processing.
  • Optimize PySpark job performance to handle large and complex datasets efficiently.
  • Ensure data quality, consistency, and lineage, and maintain thorough documentation across

all ingestion workflows.

  • Collaborate with Data Architects, Data Modelers, and Data Scientists to implement ingestion
  • logic aligned with business requirements.

  • Work with AWS-based data platforms (S3, Glue, EMR, Redshift) for data movement and
  • storage.

  • Support version control, CI / CD processes, and infrastructure-as-code practices as required.
  • Must-Have Skills :

  • Minimum 5+ years of data engineering experience, with a strong focus on PySpark / Spark.
  • Proven experience building data pipelines and ingestion frameworks for relational, semi-
  • structured (JSON, XML), and unstructured data (logs, PDFs).

  • Strong knowledge of Python and related data processing libraries.
  • Advanced SQL proficiency (Amazon Redshift, PostgreSQL or similar).
  • Hands-on expertise with distributed computing frameworks such as Spark on EMR or Familiarity with workflow orchestration tools like AWS Step Functions or similar.
  • Good understanding of data lake and data warehouse architectures, including fundamental
  • data modeling concepts.

    Good-to-Have Skills :

  • Experience with AWS data services : Glue, S3, Redshift, Lambda, CloudWatch.
  • Exposure to Delta Lake or similar large-scale storage technologies.
  • Experience with real-time streaming tools such as Spark Structured Streaming or Kafka.
  • Understanding of data governance, lineage, and cataloging tools (AWS Glue Catalog, Apache
  • Atlas).

  • Knowledge of DevOps / CI-CD pipelines using Git, Jenkins.
  • (ref : hirist.tech)

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