Data Analyst

GIIT Solutions; Gurugram District; On-site; INR 600,000 - 900,000; Full time

Job summary

GIIT Solutions in Gurugram, India, seeks a data engineer to develop and maintain data processing solutions using SQL and Python, and to build robust ETL/ELT pipelines.

You will work with Big Data technologies such as Hadoop, Spark, and Kafka, and manage data on AWS, Azure, or GCP. The role covers data warehousing, integration, transformation, and quality, with strong collaboration across teams.

Qualifications

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

Responsibilities

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

Skills

SQL

Python

ETL/ELT

Airflow

Talend

Informatica

Hadoop

Spark

Kafka

AWS

Azure

GCP

Data warehousing

Data integration

Data transformation

Analytical skills

Communication

Tools

Airflow

Talend

Informatica

Job description

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.