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Home
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DataCouch
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Data Engineer

Data Engineer

DataCouch

0 - 5 years

0 Lacs

Mohali Punjab

Posted:2 months ago| Platform: Indeed logo

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Skills Required

data apache spark hadoop hive aws gcp programming python scala sql devops orchestration kubernetes docker jenkins engineering airflow kafka redshift analytics visualization power learning mlflow databricks tensorflow git gitlab design reliability governance compliance pyspark etl service integration ai ml content compensation

Work Mode

On-site

Job Type

Full Time

Job Description

Job Information

Date Opened

06/20/2025

Job Type

Full time

Industry

Education

Work Experience

4-5 years

City

S.A.S.Nagar (Mohali)

State/Province

Punjab

Country

India

Zip/Postal Code

160062

Job Description

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

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

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