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We are looking for enthusiastic and driven Associate – Data Engineering who are eager to build a career in modern data platforms. This role is ideal for individuals with a strong foundation in programming and data concepts, looking to gain hands-on experience with cloud data warehouses and big data technologies such as Databricks, Snowflake, and Redshift.
You will work closely with experienced engineers to build data pipelines, process large datasets, and support analytics initiatives.
Key ResponsibilitiesAssist in building and maintaining ETL/ELT pipelines using tools like Databricks (PySpark / Spark SQL), Snowflake, or Redshift
Work with structured and semi-structured data (JSON, CSV, Parquet, etc.)
Support data ingestion from multiple sources such as APIs, databases, and cloud storage
Write and optimize SQL queries for data transformation and analysis
Help implement data quality checks and validation processes
Collaborate with senior engineers, analytics, and BI teams
Participate in code reviews, debugging, and documentation
Continuously learn and adopt best practices in data engineering
Bachelor's degree in Computer Science, IT, Engineering, or a related field
0–2 years of experience (internships, projects, or training programs considered)
Basic knowledge of SQL and Python
Understanding of data structures, databases, and ETL concepts
Familiarity with at least one cloud platform (AWS / Azure / GCP) is a plus
Exposure to tools like Databricks / Snowflake / Redshift (through coursework or projects) is preferred
Good problem-solving and analytical skills
Hands-on projects using PySpark / SQL / data pipelines
Exposure to Airflow / ADF / AWS Glue
Basic understanding of data warehousing or Lakehouse concepts
Certifications or relevant coursework in data engineering or cloud platforms
Git or version control familiarity
Impact: Play a critical role in maintaining system uptime and delivering seamless userc experiences.
Culture: Thrive in a fast-paced, collaborative environment focused on operational excellence.
Growth: Opportunity to expand into SRE, DevOps, or platform engineering roles.
Benefits: Competitive compensation, flexible work options, and continuous learning opportunities.
Job ID: 145601405