Back to jobs

JR. DATA ENGINEER

cloud-counselage-pvt-ltd
Full-timejunior

Job description

TO GET TIMELY UPDATES ON JOB OPENINGS, FEEL FREE TO JOIN OUR COMMUNITY @ https://www.industryacademiacommunity.com (4L+ MEMBERS FROM 35+ COUNTRIES) Job Overview: We are seeking a talented and motivated Junior Data Engineer to join our dynamic team. This role presents an exciting opportunity for individuals with a strong foundation in data engineering principles and a desire to grow and develop their skills in a fast-paced environment. What's For The Candidate: • Competitive salary based on experience. • Opportunities for professional development and career growth. • A collaborative and dynamic work environment. Responsibilities: • Data Acquisition: Collaborate with cross-functional teams to identify, collect, and ingest data from various sources, including databases, APIs, and external data streams. • Data Transformation: Clean, preprocess, and transform raw data into usable formats, ensuring data quality and integrity throughout the process. • Data Modeling: Assist in designing and implementing data models to support business requirements, optimizing for performance, scalability, and flexibility. • Database Management: Develop and maintain databases and data warehouses, including schema design, indexing, and optimization for efficient data storage and retrieval. • ETL (Extract, Transform, Load) Processes: Design, develop, and optimize ETL pipelines to automate data workflows and facilitate data movement across systems. • Data Visualization: Work closely with data analysts and scientists to generate insights from data and create visualizations, reports, and dashboards to communicate findings effectively. • Monitoring and Maintenance: Monitor data pipelines and systems for performance, reliability, and data quality issues, troubleshooting and resolving issues as they arise. • Documentation and Best Practices: Document data engineering processes, workflows, and best practices to ensure knowledge sharing and maintainable solutions. • Continuous Learning: Stay updated on emerging trends and technologies in data engineering and related fields, actively seeking opportunities for skill development and growth. Qualifications: • Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field. • Strong proficiency in programming languages such as Python, SQL, or Java, with a focus on data manipulation and analysis. • Familiarity with database technologies (e.g., SQL databases, NoSQL databases) and data warehousing concepts. • Experience with ETL tools and frameworks (e.g., Apache Spark, Apache NiFi, Talend). • Solid understanding of data modeling principles and best practices. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills, with the ability to work effectively in a team environment. • Prior experience or coursework in data engineering, data analysis, or related fields is a plus. Job Location: Remote/Hybrid/In-Office Note: To accomplish our vision, our Flagship Event ' IAC VISION 2030 ' would provide employment and career opportunities for millions of job-ready interns, freshers and professionals in our Industry Academia Community (IAC). By submitting your application you accept the Terms and Conditions.