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Data Engineer

2 weeks ago

Mohali, Punjab, India DataCouch Full time US$ 90,000 - US$ 1,20,000 per year

Technologies We Work With

At Data Couch, you'll gain exposure to a wide range of modern tools and technologies, including:

  • ● Big Data: Apache Spark, Hadoop, Hive, HBase, Pig

  • ● Cloud Platforms: AWS, GCP, Microsoft Azure

  • ● Programming: Python, Scala, SQL, PySpark

  • ● DevOps & Orchestration: Kubernetes, Docker, Jenkins, Terraform

  • ● Data Engineering Tools: Apache Airflow, Kafka, Flink, NiFi

  • ● Data Warehousing: Snowflake, Amazon Redshift, Google BigQuery

  • ● Analytics & Visualization: Power BI, Tableau

  • ● Machine Learning & MLOps: MLflow, Databricks, TensorFlow, PyTorch

  • ● Version Control & CI/CD: Git, GitLab CI/CD, CircleCI

    Key Responsibilities

  • ● Design, build, and maintain robust and scalable data pipelines using PySpark

  • ● Leverage Hadoop ecosystem (HDFS, Hive, etc.) for big data processing

  • ● Develop and deploy data workflows in cloud environments (AWS, GCP, or Azure)

  • ● Use Kubernetes to manage and orchestrate containerized data services

  • ● Collaborate with cross-functional teams to develop integrated data solutions

  • ● Monitor and optimize data workflows for performance, reliability, and security

  • ● Follow best practices for data governance, compliance, and documentation



Requirements

  1. Must-Have Skills

  • ● Proficiency in PySpark for ETL and data transformation tasks

  • ● Hands-on experience with at least one cloud platform (AWS, GCP, or Azure)

  • ● Strong grasp of Hadoop ecosystem tools such as HDFS, Hive, etc.

  • ● Practical experience in Kubernetes for service orchestration

  • ● Proficiency in Python and SQL

  • ● Experience working with large-scale, distributed data systems

  • ● Familiarity with tools like Apache Airflow, Kafka, or Databricks

  • ● Experience working with data warehouses like Snowflake, Redshift, or BigQuery

  • ● Exposure to MLOps or integration of AI/ML pipelines

  • ● Understanding of CI/CD pipelines and DevOps practices for data workflows

  • ● SnowCore Pro Certified



Benefits
  • Work on the frontlines of AI, cloud, and data innovation
  • Collaborate with global thought leaders and enterprise clients
  • Be part of a growing content team with creative freedom and real impact
  • Competitive compensation and a learning-focused work environment