Junior Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Aid in the creation and upkeep of data pipelines under the mentorship of senior engineers.

• Develop, test, and refine SQL queries for data extraction, transformation, and validation.

• Assist in batch data ingestion and fundamental ETL/ELT processes using Python.

• Conduct basic data quality assessments and identify discrepancies.

• Acquire knowledge and work within the Snowflake/Databricks cloud data warehouse with guidance.

• Document data flows, elementary technical specifications, and testing scenarios.

• Take part in code reviews and apply feedback to enhance code quality.

• Work collaboratively with analytics and business teams to comprehend data requirements.

• Embrace new tools, programming languages, and industry best practices.

• Clearly communicate progress and challenges to the team.

⛳️ Requirements

• For freshers, a Bachelor's degree in Computer Science, Computer Engineering, IT, or a related discipline.

• For freshers, a fundamental understanding of SQL, including basic SELECT, JOIN, and aggregation queries.

• For freshers, introductory knowledge of Python programming.

• For freshers, a conceptual understanding of data warehousing principles, including tables, schemas, and ETL.

• For freshers, comprehension of relational databases and data structures.

• For freshers, a strong eagerness to learn, along with analytical thinking and attention to detail.

• For freshers, effective verbal and written communication skills.

• For candidates with 1–2 years of experience, 1–2 years of practical experience in data engineering, analytics engineering, or a comparable role.

• Proficient in SQL, including joins, aggregations, and basic performance tuning.

• Practical experience with Python; familiarity with PySpark is advantageous.

• Experience with a cloud data warehouse or lakehouse platform such as Snowflake, Databricks, Redshift, or BigQuery.

• Basic familiarity with ETL/data pipeline tools such as Airflow, dbt, or Fivetran is a plus.

• Knowledge of version control using Git, GitHub, or Bitbucket.

• Basic understanding of AWS, Azure, or GCP.

• Strong problem-solving abilities and capacity to work in an agile team setting.

• Academic or internship project experience related to data pipelines or analytics is a plus.

• Familiarity with workflow orchestration tools like Airflow is advantageous.

• Basic knowledge of Kafka or NoSQL databases is a plus.

• Experience with Power BI, Tableau, or Looker is a plus.

• Basic understanding of Docker or containerization concepts is a plus.

🏝️ Benefits

• Opportunities for professional growth and development.

• Collaborative and inclusive work environment.

• Access to the latest tools and technologies.

• Flexible work hours and possible remote work options.