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Data Analyst

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Key Responsibilities

  • Develop and maintain data processing solutions using SQL and Python.
  • Build, manage, and optimize ETL/ELT pipelines using tools such as Apache Airflow, Talend, or Informatica.
  • Work with Big Data technologies such as Hadoop, Apache Spark, and Kafka.
  • Process, store, and manage data using cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Work on data warehousing, data integration, data transformation, and data quality.
  • Collaborate with cross-functional teams to support data engineering and analytics requirements.

Required Skills

  • Strong knowledge of SQL and Python for data processing and manipulation.
  • Understanding of ETL/ELT processes and data pipeline development.
  • Familiarity with Airflow, Talend, Informatica, or similar ETL tools.
  • Basic knowledge of Big Data technologies such as Hadoop, Spark, or Kafka.
  • Understanding of cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of data warehousing, data integration, and data transformation concepts.
  • Good analytical, problem-solving, and communication skills.

Eligibility Criteria

  • Must be willing to commit to a 2 - year agreement.
  • Graduation: Only candidates who completed their bachelor's degree in 2023 or earlier are eligible.
  • Post-Graduation: Candidates who completed their postgraduate degree in 2026 or earlier are eligible.
  • Candidates must meet the applicable graduation or post-graduation eligibility criteria.
  • Job Location: Gurugram, Haryana.
  • Work Mode: Work from Office (WFO).
  • Employment Type: Full-Time.

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See also

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