Big Data Developer - PySpark, Hadoop, Cloudera & SQL

Advance Career Solutions

Thane

Hybrid

INR 1,200,000 - 2,500,000

Full time

4 days ago
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Job summary

Advance Career Solutions in Thane is seeking a seasoned Big Data Developer to design and maintain data pipelines using PySpark, Hadoop, Cloudera and SQL. The role requires 4 to 11 years of hands-on experience and a strong command of data processing technologies.

You will collaborate with data teams to ensure data quality and performance, implement ETL solutions, and optimize queries across large datasets in an on-site setup in Thane.

Qualifications

  • 4+ years of hands-on experience with PySpark, Hadoop, and Cloudera.
  • Strong SQL skills for data extraction, transformation, and loading.
  • Experience building and optimizing data pipelines and ETL processes.

Responsibilities

  • Develop and maintain data pipelines using PySpark.
  • Work with Hadoop and Cloudera platforms.
  • Write and optimize SQL queries for data processing.
  • Perform data transformation and ETL operations.
  • Troubleshoot data pipeline issues and improve performance.
  • Collaborate with data engineering and analytics teams.

Skills

PySpark
Hadoop
Cloudera
SQL
Big Data & ETL

Tools

Apache Hive
Apache Spark
HDFS
Python
Linux/Unix

Job description

Job Title: Big Data Developer PySpark, Hadoop, Cloudera & SQL

Location: Thane Experience: 4 to 11 Years

Job Description:

We are looking for an experienced Big Data Developer with strong knowledge of PySpark, Hadoop, Cloudera, and SQL to develop and maintain data processing solutions.

Key Responsibilities:
  • Develop and maintain data pipelines using PySpark.
  • Work with Hadoop and Cloudera platforms.
  • Write and optimize SQL queries for data processing.
  • Perform data transformation and ETL operations.
  • Troubleshoot data pipeline issues and improve performance.
  • Ensure data quality, accuracy, and consistency.
  • Collaborate with data engineering and analytics teams.
Mandatory Skills:
  • PySpark
  • Hadoop
  • Cloudera
  • SQL
  • Big Data and ETL
Good-to-Have Skills:
  • Apache Hive
  • Apache Spark
  • HDFS
  • Python
  • Linux/Unix
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