Python & Snowflake Data Engineer | Data Pipelines, Cloud Data Platform, SQL, Automation

Job Summary

Synechron is seeking a skilled Python and Snowflake Developer to join our data engineering team. The successful candidate will design develop and maintain scalable data solutions leveraging Python and Snowflake to support organizational analytics reporting and data management initiatives. This role plays a vital part in transforming data into actionable insights ensuring data accuracy and optimizing data workflows to meet evolving business needs. The ideal candidate will possess strong technical skills problem-solving abilities and a collaborative mindset to drive strategic data projects forward.

Software Requirements

Required Skills :

Proficiency in Python development (experience with data processing scripting and automation)

Hands-on experience with Snowflake data platform including data modeling query optimization and data loading techniques

Familiarity with SQL for data manipulation and querying within Snowflake

Knowledge of cloud platforms especially experience working with Snowflake in a cloud environment (Azure AWS or GCP)

Experience with data integration tools and APIs (REST / SOAP) knowledge is a plus

Preferred Skills :

Experience with data pipeline orchestration tools like Apache Airflow or similar

Working knowledge of additional programming languages such as Java or Scala is advantageous

Familiarity with version control systems like Git

Exposure to containerization and deployment tools (Docker Kubernetes)

Overall Responsibilities

Design develop and implement scalable data pipelines and transformation workflows using Python and Snowflake

Collaborate with business stakeholders data analysts and data scientists to translate requirements into effective technical solutions

Optimize Snowflake data models and queries for performance reliability and cost-efficiency

Develop and maintain automated data loading and extraction processes from external systems

Perform testing validation and troubleshooting of data workflows and reports

Contribute to documentation of data architecture processes and best practices

Stay current on emerging data platform features Python libraries and cloud data engineering trends to continuously improve solutions

Technical Skills (By Category)

Programming Languages :

Required : Python (for data processing automation scripting)

Preferred : SQL (especially for Snowflake query optimization) Java / Scala (for broader data pipeline development)

Databases / Data Management :

Snowflake (data warehousing modeling query optimization)

Familiarity with relational databases and data lakes

Cloud Technologies :

Snowflake cloud platformknowledge of integration with cloud providers like AWS Azure or GCP

Frameworks and Libraries :

Python libraries such as pandas NumPy pyarrow and snowflake-connector-python

Data pipeline frameworks (e.g. Apache Airflow Luigi) (preferred)

Development Tools and Methodologies :

Python IDEs (e.g. VS Code PyCharm)

Version control systems (e.g. Git)

Agile methodologies and SDLC applied to data projects

Security Protocols :

Knowledge of data security access controls and compliance considerations within cloud data platforms

Experience Requirements

3 years of experience developing data pipelines and solutions using Python and Snowflake

Proven track record of designing scalable data models and ETL / ELT workflows

Experience integrating data from external systems and IoT / Streaming sources is beneficial

Familiarity with cloud platform operations billing and cost management within Snowflake

Experience working with cross-functional teams in Agile environments

Alternative Experience Pathways :

Candidates with extensive hands-on experience in data engineering even without formal certifications will be considered if they demonstrate relevant skills and project success.

Day-to-Day Activities

Develop and maintain automated data workflows using Python scripts and Snowflake features

Collaborate on requirements gathering and design data models to support analytics and reporting needs

Optimize existing queries data pipelines and workflows for performance and cost-efficiency

Monitor data pipeline health troubleshoot issues and implement improvements

Coordinate with data analysts data scientists and business units to ensure data availability and quality

Document data architecture workflows and best practices for team reference

Explore new tools libraries and platform features to enhance data processing capabilities

Qualifications

Bachelors degree in Computer Science Information Technology Data Science or related field

Relevant professional experience or certifications in Python development and Snowflake is preferred

Continued learning via online courses certifications or workshops (e.g. SnowPro certification) is encouraged

Professional Competencies

Strong analytical and critical-thinking skills for designing effective data solutions

Excellent communication abilities to collaborate with technical and non-technical stakeholders

Ability to work effectively in a team environment and participate in Agile practices

Adaptability to evolving data technologies and project requirements

A proactive approach to problem-solving and process improvement

Effective time management to prioritize workload and meet deadlines

S YNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law .

Candidate Application Notice

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1