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