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Open nowFirst seen 47 hours ago

Jr. Data Engineer

Cloud Counselage Pvt Ltd503 open roles

Where
Mumbai, Maharashtra, India, Remote
Work mode
Remote
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Your applicationOpen nowJr. Data EngineerCloud Counselage Pvt Ltd · Mumbai, Maharashtra, India, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Cloud Counselage Pvt Ltd's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 47 hours ago

The posting

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.

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