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Senior Data Engineer

5 years

0 Lacs

Posted:2 weeks ago| Platform: Indeed logo

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On-site

Job Type

Full Time

Job Description

Job Information Date Opened 05/28/2025 Job Type Full time Industry Education Work Experience 5+ years City S.A.S.Nagar (Mohali) State/Province Punjab Country India Zip/Postal Code 160062 Job Description About Data Couch Pvt. Ltd. Data Couch Pvt. Ltd. is a leading consulting and enterprise training company, specializing in Data Engineering, Big Data, Cloud Technologies, DevOps, and AI/ML. With a footprint across India and strategic global client partnerships, we empower organizations through data-driven decision-making and digital transformation. Our team of expert consultants and trainers works hands-on with the latest technologies to deliver enterprise-grade solutions and skill-building programs. Key Responsibilities Design, develop, and optimize scalable data pipelines using PySpark. Leverage Hadoop ecosystem tools (e.g., HDFS, Hive) for big data processing. Build and manage data workflows on cloud platforms (AWS, GCP, Azure). Utilize Kubernetes for orchestration of containerized data services. Collaborate with data scientists, analysts, and engineers to integrate data solutions. Monitor, maintain, and improve data workflows for performance and reliability. Ensure data governance, compliance, and best practices in documentation. Support MLOps and the integration of AI/ML pipelines into data workflows. Requirements Must-Haves: 6–7+ years of experience in data engineering roles. Strong expertise in PySpark for ETL, transformation, and distributed data processing. Hands-on experience with at least one major cloud platform (AWS, GCP, Azure). Solid understanding of Hadoop tools like HDFS, Hive, etc. Experience with Kubernetes for container orchestration. Proficient in Python and SQL. Experience working with large-scale, distributed data systems. Good-to-Have: Familiarity with tools like Apache Airflow, Kafka, NiFi, or Databricks. Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery. Exposure to MLOps frameworks such as MLflow, TensorFlow, or PyTorch. Understanding of DevOps, CI/CD, and version control (Git, GitLab, Jenkins). Benefits Innovative Environment: Thrive in a collaborative culture that values innovation and continuous improvement. Learning & Growth: Access to internal training programs, certifications, and mentorship from industry experts. Career Development: Structured growth opportunities and competitive compensation. Cutting-Edge Tech: Work with modern data technologies and contribute to digital transformation initiatives. Health & Wellbeing: Comprehensive medical insurance coverage for you. Work-Life Balance: Generous paid leave .

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