Data Analytics-Python Developer

Mandatory skills

1.Python, Dagster, Docker containerization-3 5 years

2.Data Modeling-3 years

Required Qualifications:

· Proven experience as a Python Developer with a focus on data engineering.

· Hands-on experience with Dagster for building and maintaining data pipelines.

· Proficiency in Python libraries (Pandas, Polars, DuckDB) and ETL processes.

· Solid understanding of Docker containerization.

· Experience with Power BI, particularly connecting to Parquet data sources.

· Experience wih Dimentional modeling, start schema, snow-flake schema.

· Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

· Familiarity with Agile methodologies and a collaborative, team-oriented environment.

Responsibilities:

· Pipeline Development:

o Develop and maintain Dagster pipelines to connect with various data sources and

convert raw data into Parquet format.

o Optimize ETL processes for robust, scalable data workflows.

· Data Analysis & Transformation:

o Analyze different source systems to design efficient integration strategies.

o Modify and manage Parquet datasets to ensure data quality and performance.

· Technical Implementation:

o Utilize Python libraries such as Pandas, Polars, and DuckDB for data processing

and analysis.

o Deploy applications using Docker for seamless containerization and deployment.

· Data Modeling:

o Design innovative data models from source tables to staging, capturing time-series

data for advanced analytics.

· Collaboration:

o Work closely with