Need Immediate Joiner (No Notice Period) at Chennai Location Only- Data Analyst with Databricks and

Title : Data Analyst with Databricks and Spark / PySpark exp.

Location : Chennai

Duration : Full Time

Must Have Skills :

1. Banking data analytics exposure (risk / finance)

2. SQL + Databricks + Azure stack proficiency

3. Data mapping, data modeling, and visualization (Power BI)

4. Spark / PySpark

5. Cloud Platform : Azure / AWS

• Bachelors or master’s degree in computer science, Information Technology, or a related field.
• Demonstrated expertise in working with Data Bricks for data processing and analysis.
• Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.

Experience :

Core Skills :

o Strong analytical and problem-solving skills to effectively design data solutions.

o Banking Retail, Business & Wholesale Product Knowledge and understanding

o Attention to detail and a commitment to delivering high-quality work.

o Excellent communication and teamwork skills to collaborate with cross-functional teams.

o Ability to manage time effectively and prioritize tasks in a dynamic work environment.

Technical Skills :

o Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language

o Data Visualization tools – Power BI, Business Objects, Crystal or similar tool

o Data Warehousing and ETL concepts

Competencies :

o Expert-level proficiency in SQL, Python with SAS / R / Spark as plus

o Deep understanding of distributed data processing frameworks, particularly Apache Spark.

o Experience with cloud platforms (Azure, AWS) — including Object storage, compute, networking, and data integration services.

o Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.

o Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).

o Knowledge of data governance, quality assurance, and compliance best practices.

o Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering