Data Engineer

Job Title: Data Engineer (3–5 Years Experience)

Location: Gurgaon, Pune, Bangalore, Hyderabad

Job Summary

:
We are seeking a skilled and motivated Data Engineer with 3 to 5 years of experience to join our growing team. The ideal candidate will have hands-on expertise in building robust, scalable data pipelines, working with modern data platforms, and enabling data-driven decision-making across the organization. You’ll work closely with data scientists, analysts, and engineering teams to build and maintain efficient data infrastructure and toolin

g.
Key Responsibiliti

• es:
  Design, develop, and maintain scalable ETL/ELT pipelines to support analytics and product use ca
• ses.Collaborate with data analysts, scientists, and business stakeholders to gather requirements and translate them into data soluti
• ons.Manage data integrations from various internal and external data sour
• ces.Optimize data workflows for performance, cost-efficiency, and reliabil
• ity.Build and maintain data models and data warehouses using industry best practi
• ces.Monitor, troubleshoot, and improve existing data pipeli
• nes.Implement data quality frameworks and ensure data governance standards are follo
• wed.Contribute to documentation, code reviews, and knowledge sharing within the t

eam.Required Skills & Qualificati

• ons:
  Bachelor's degree in Computer Science, Engineering, Information Technology, or a related f
• ield.3–5 years of experience as a Data Engineer or in a similar data-focused
• role.Strong command of SQL and proficiency in Py
• thon.Good Engineering pract
• ices.Experience with data pipeline orchestration tools such as Apache Airflow or equiva
• lent.Hands-on experience with cloud data platforms (AWS/GCP/Azure) and services such as S3, Redshift, BigQuery, or Azure Data
• Lake.Experience in data warehousing concepts and tools like Snowflake, Redshift, databr
• icks,Familiarity with version control tools such as
• Git.Strong analytical and communication sk

ills.Preferred Qualificat

• ions:
  Exposure to big data tools and frameworks such as Spark, Hadoop, or
• Kafka.Experience with containerization (Docker/Kubern
• etes).Familiarity with CI/CD pipelines and automation in data engine
• ering.Awareness of data security, privacy, and compliance princ

iples.What We

• Offer:
  A collaborative and inclusive work envir
• onment.Opportunities for continuous learning and career
• growth.Competitive compensation and be
• nefits.Flexibility to work from any of our offices in Gurgaon, Pune, Bangalore, or Hy