Data Scientist

9 hours ago

Gurugram Haryana, India Dataviv Technologies Full time

Technical Skills

Programming Languages
- Proficiency in Python, with a focus on data processing libraries (e.g., Pandas).
- Familiarity with SQL for querying and managing relational databases.

Data Processing and Big Data
- Experience with Pandas, including optimization techniques such as:

- Chunk size to handle large datasets in memory-efficient batches.
- Basic understanding of PySpark for distributed data processing, including:

- Working with DataFrames for scalable data manipulations.
- Using Spark SQL for querying large datasets.
- Optimizing jobs using partitioning and caching.

Data Pipelines
- Basic understanding of ETL/ELT concepts.
- Exposure to pipeline tools like Apache Airflow or Luigi.

Databases and Optimization
- Familiarity with relational databases (e.g., MySQL, PostgreSQL).
- Techniques to improve database throughput, such as:

- Batch inserts for efficient data loading.
- Query optimization using indexing and partitioning.
- Managing database connections effectively to minimize latency.
- Basic understanding of NoSQL databases (e.g., MongoDB).

Cloud Fundamentals
- Basic knowledge of cloud platforms like AWS, Azure, or Google Cloud (e.g., S3, Lambda, BigQuery).
- Familiarity with distributed storage concepts.

Version Control and CI/CD
- Knowledge of Git/GitHub for collaboration and version control.

Data Modeling
- Basic understanding of relational and dimensional data modeling.

Analytical and Problem-Solving Skills
- Strong analytical skills to optimize data pipelines and troubleshoot performance bottlenecks.
- Basic understanding of distributed computing principles to scale data workflows.

Soft Skills
- Eagerness to learn and adapt to new tools and technologies.
- Clear communication and collaboration skills for working with cross-functional teams.
- Strong attention to detail for ensuring data quality and accuracy.

Education and Experience
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Hands-on experience with academic or personal projects involving large datasets.
- Familiarity with PySpark optimizations like: ⁠
- Using repartition() and coalesce() for better resource utilization.
- Understanding lazy evaluation and its role in Spark job execution.
- Awareness of visualization tools like Tableau or Power BI.
- Exposure to basic cloud certifications (e.g., AWS Certified Cloud Practitioner).

Pay: ₹30,000.00 - ₹40,000.00 per month

Schedule:

- Day shift

**Education**:

- Bachelor's (required)

**Experience**:

- total work: 3 years (required)

**Location**:

- Gurugram, Haryana (required)

Work Location: In person

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