Sr Python Engineer

BizTek People, Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

BizTek People, Inc. seeks an experienced Python data engineer to design, build, and optimize data pipelines and analytics for internal partner teams. You will work with engineers and data scientists to craft scalable solutions and rapidly diagnose issues in production pipelines.

The ideal candidate has 10+ years in IT, strong Python data-processing skills, and expertise in SQL, data warehousing, and ETL tools. This is a remote role serving USA-based teams.

Qualifications

• Bachelor's degree in Computer Science or equivalent work experience.
• 10+ years' experience in IT.
• 8+ years proficiency with Python data processing (Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, Simple Salesforce, Json).
• 4+ years strong SQL (Stored Procedures, Triggers, schema design; MSSQL/MySQL).
• 2+ years Data Warehouse tech (Snowflake/Spark/Databricks/Informatica).
• 2+ years ETL tools (Airflow/AWS Glue/Azure Data Factory/Talend/Alteryx).
• 1+ year Hadoop, Hive.
• Excellent verbal communication.
• Knowledge of DevOps/Git for agile planning and code repository.

Responsibilities

• Design, develop, and launch data pipelines using Python frameworks to move data and provide analytics to partner teams.
• Collaborate with engineers and Data Scientists to client for the best solutions.
• Diagnose and resolve issues in existing data pipelines and build successors.

Skills

Python programming

Data engineering

Communication

Education

Bachelor's degree in Computer Science

Tools

Pandas

NumPy

PySpark

PyOdbc

PyMsSQL

Requests

Boto3

Simple Salesforce

JSON

SQL Tools

Job description

This is a remote position.

Responsibilities

• Python programmers/developers who done extensive hands-on work in data engineering space


• Willingness to quickly learn and adapt.


• Experience in solutioning and implementing data pipelines, data curation, data modeling and implementing data solutions.


• Strong understanding of different type of data and the lifecycle of data.


• Design, develop, and launch extremely efficient and reliable data pipelines using Python frameworks to move data and to provide intuitive analytics to our partner teams.


• Collaborate with other engineers and Data Scientists to Client for the best solutions.


• Diagnose and solve issues in our existing data pipelines and envision and build their successors.

Requirements Required Qualifications

• Bachelor's degree in Computer Science or equivalent work experience


• Minimum 10+ years' experience in IT


• 8+ years Proficiency working with Python specifically related to data processing with proficiency in Python Libraries - Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, Simple Salesforce, Json.


• 4+ years Strong SQL (SQL, performance, Stored Procedures, Triggers, schema design) skills and knowledge of one of more RDBMS like MSSQL/MySQL.


• 2+ years' experience in Data Warehouse technologies like Snowflake/Spark/Databricks/ Informatica


• 2+ years ETL tools like Apache Airflow/AWS Glue/Azure Data Factory/Talend/Alteryx


• 1+ year in Hadoop, Hive


• Excellent verbal communication skills.


• Knowledge of DevOps/Git for agile planning and code repository

Originally posted on Himalayas