Jr. Data Engineer

Cloud Counselage Pvt Ltd; Mumbai; Hybrid; INR 600,000 - 800,000; Full time

Benefits offered by this job

Competitive salary based on experience

Opportunities for professional development

Collaborative work environment

Job summary

A technology services company is seeking a motivated Junior Data Engineer to join their team in Mumbai. This role offers an exciting opportunity to work on data acquisition, transformation, and modeling with a focus on programming skills in Python and SQL. The ideal candidate will have a degree in a relevant field and a strong desire to grow in a collaborative work environment. The position supports remote, hybrid, or in-office work arrangements.

Qualifications

• Strong proficiency in programming languages focused on data manipulation and analysis.
• Familiarity with database technologies and data warehousing concepts.
• Solid understanding of data modeling principles.

Responsibilities

• Collaborate with teams to collect and ingest data from various sources.
• Clean and transform raw data into usable formats.
• Assist in designing and implementing data models.

Skills

Python

SQL

Java

Problem-solving

Communication

Education

Bachelor's or master's degree in Computer Science, Engineering, Information Systems

Tools

Apache Spark

Apache NiFi

Talend

Job description

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

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