Data Analyst

Carrerlift; Gurugram District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Carrerlift in India is seeking a data analytics professional to analyze and process data using SQL and Python, building ETL pipelines and scalable analytics solutions.

You will work with Airflow, Talend, Informatica, Hadoop, Spark, and Kafka, leveraging AWS/Azure/GCP to enable data-driven decisions across platforms.

Strong problem-solving, communication, and analytical thinking are essential to identify patterns and optimize data workflows.

Qualifications

• Strong SQL and Python skills for data manipulation and analysis.
• Hands-on ETL/ELT framework design and data pipeline architecture.
• Experience with at least one tool among Airflow, Talend, Informatica or comparable.
• Familiarity with Hadoop, Spark, Kafka or other Big Data platforms.
• Exposure to cloud services on AWS, Azure or GCP.
• Understanding of data warehousing concepts, integration techniques, and transformation logic.
• Strong problem-solving, communication, and analytical thinking.

Responsibilities

• Analyze and process data using SQL and Python to extract actionable insights
• Design and implement ETL/ELT pipelines to move and transform data across systems
• Work with orchestration tools such as Airflow, Talend, or Informatica to automate data workflows
• Develop data warehousing solutions and oversee data integration initiatives
• Leverage cloud platforms including AWS, Azure, or GCP for scalable analytics infrastructure
• Build systems using Big Data technologies like Hadoop, Spark, or Kafka for large-scale processing

Job description

Batch: 2023 or earlier (Graduates) / 2026 or earlier (Postgraduates).

About the role

• Analyze and process data using SQL and Python to extract actionable insights
• Design and implement ETL/ELT pipelines to move and transform data across systems
• Work with orchestration tools such as Airflow, Talend, or Informatica to automate data workflows
• Develop data warehousing solutions and oversee data integration initiatives
• Leverage cloud platforms including AWS, Azure, or GCP for scalable analytics infrastructure
• Build systems using Big Data technologies like Hadoop, Spark, or Kafka for large-scale processing

What we're looking for

• Solid command of SQL and Python for data manipulation and analysis
• Hands‑on experience with ETL/ELT framework design and data pipeline architecture
• Practical knowledge of at least one tool among Airflow, Talend, Informatica, or comparable alternatives
• Familiarity with Hadoop, Spark, Kafka, or other Big Data platforms
• Exposure to cloud services on AWS, Azure, or GCP
• Understanding of data warehousing concepts, integration techniques, and transformation logic
• Strong problem‑solving mindset with the ability to debug complex data issues
• Excellent communication skills to explain technical concepts to stakeholders
• Analytical thinking to identify patterns and optimize data workflows