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Data Engineer

2 months ago

Delhi, India Zemoso Technologies Full time
Job Title: Data EngineerExperience:

4+ Years data pipelines experienceLocation:

HyderabadJob Type: Full-time

Key Responsibilities:● Python Proficiency:Demonstrate a strong command of Python programming language, actively contributing to thedevelopment and maintenance of data engineering solutions.● Data Engineering Expertise:Set up and maintain efficient data pipelines, ensuring smooth data flow and integration acrosssystems. Experience with PySpark and/or Data Bricks platform is required. Contribute to theestablishment and maintenance of Data Lakes, implementing industry best practices. Executedata scrubbing techniques and implement data validation processes to ensure data integrity andquality.● Machine Learning Integration:Experience in setting up and managing classic ML and LLM models. Participate in modelupdates and validation, contributing to the enhancement of machine learning algorithms.● Tool and Platform Proficiency:Experience with PySpark and/or Data Bricks platform is required, apart from this expertise in atleast one popular tool/platform within the data engineering domain will be nice to have. Stayinformed about industry trends, exploring and adopting tools to optimize data engineeringprocesses.● Collaboration and Communication:Collaborate effectively with cross-functional teams, including data scientists, software engineers,and business analysts. Communicate technical concepts to non-technical stakeholders,fostering collaboration and innovation within the team.● Documentation and Best Practices:Contribute to maintaining comprehensive documentation for data engineering processes,ensuring knowledge transfer within the team. Adhere to best practices in data engineering,promoting a culture of quality and efficiency.

Must-Have Skills:● Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.● Minimum of 2 years of proven experience as a Data Engineer.● Experience with PySpark● Strong proficiency in Python programming language.● Experience in setting up and managing data pipelines, data lakes, and classic MachineLearning models.● Familiarity with at least one popular tool/platform in the data engineering space. (Kafka,Airflow, Snowflake, etc.)

Nice-to-Have Skills (Optional):● Exposure to cloud-based data platforms. (AWS/Azure/GCP)● Basic knowledge of big data technologies such as Hadoop or Spark.● Familiarity with containerization tools like Docker or Kubernetes.● Interest in data visualization tools. (Tableau, PowerBI, etc.)● Certifications in relevant data engineering or machine learning technologies.