Vacancy description
India, Bhubaneswar
Data Engineer - Python in Bhubaneswar, India is listed on Jobeax. Browse 30,000+ vacancies available.
About the Role :We're looking for a Data Engineer with 1 - 2 years of experience to join our data team. You'll help build, maintain, and optimize data pipelines that power analytics and decision-making across the organization. This is a great opportunity for someone early in their career who wants to deepen their skills in workflow orchestration, data pipeline design, and Python-based data https://jobeax.com/link/QJthsbNyq6dgbViB Responsibilities :- Design, build, and maintain ETL/ELT data pipelines using Apache Airflow.- Write clean, efficient, and reusable Python code for data processing and transformation.- Use Jupyter Notebooks for data exploration, prototyping, and validation of pipeline logic.- Monitor pipeline performance, troubleshoot failures, and ensure data quality and reliability.- Collaborate with data analysts, data scientists, and other engineers to understand data requirements.- Maintain and improve existing DAGs, including scheduling, dependency management, and error handling.- Document pipelines, workflows, and processes for team-wide visibility.- Assist in optimizing SQL queries and database performance where https://jobeax.com/link/157UJ0YGZTFgXNZ4 Skills & Qualifications :- 1 - 2 years of hands-on experience in data engineering or a related role.- Proficiency in Apache Airflow (DAG creation, scheduling, operators, task dependencies).- Strong working knowledge of Python for scripting and data manipulation.- Experience using Jupyter Notebook for data analysis/prototyping.- Familiarity with SQL and relational databases.- Understanding of ETL/ELT concepts and data pipeline best practices.- Basic knowledge of version control (Git).Nice to Have :- Experience with cloud platforms (AWS / GCP / Azure).- Familiarity with data warehousing tools (Snowflake, BigQuery, Redshift, etc.).- Exposure to libraries like Pandas, NumPy, or PySpark.- Understanding of data modeling concepts.- Experience with containerization (Docker). (ref:hirist.tech)
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