PySpark Internship

PySpark Internship

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Synergistic AI Analytics

We Are Hiring — PySpark Data Engineering Intern

Location: Bhopal, MP (Work from Office)
Internship Duration: 3–6 Months
Experience: Fresher / Final-year student / 0–2 Years

Are you passionate about data and ready to build real data engineering projects in a modern cloud ecosystem?

Key Responsibilities

• Assist in building PySpark-based ETL pipelines
• Work with data lakes, Delta Lake, and structured/semi-structured data flows
• Process data across Bronze → Silver → Gold layers
• Write and optimise SQL for transformation and reporting
• Participate in performance tuning (cluster optimisation, caching, partitioning)
• Support job orchestration in Databricks / ADF
• Learn and assist with data lineage and data quality checks
• Participate in CI/CD and Git-based workflows
• Support testing, debugging, and validation for data migration workloads
• Contribute to metadata-driven frameworks and automation scripts
• Prepare documentation and collaborate in Agile sprints

Key Requirements

• Strong foundation in PySpark, Python, SQL, and cloud data concepts
• Strong problem-solving mindset and ability to learn fast
• Candidate must be strong in at least two key areas — exceptional analytical skills required:
• PySpark — DataFrames, transformations, joins, debugging (preferred)
• SQL — Strong query writing, joins, window functions
• Python — Solid logic, functions, data structures, error handling
• Exposure to the Azure data ecosystem (ADF, Databricks, Synapse) is a plus

❌ Not suitable for candidates seeking remote/hybrid options.
❌ Not suitable for candidates without strong fundamentals in PySpark, Python, and SQL.

Job Type: Internship

Work Location: In person