Job Summary
Synechron is seeking a highly experienced
Snowflake & Python Data Engineer
to design, develop, and support scalable, high-performance data solutions leveraging cloud data platforms. This role involves building robust data pipelines, transforming large datasets, and automating data workflows to enable enterprise analytics and reporting. The ideal candidate will have strong expertise in Snowflake, Python, SQL, and data modeling, collaborating with data engineering, analytics, and business teams to deliver scalable, secure, and efficient data architectures aligned with organizational goals.
Software Requirements
Required:
Extensive hands-on experience with
Snowflake
for data warehousing, including schemas, views, and performance optimization techniques.
Strong proficiency in
Python
for data processing, automation, and integrations.
Advanced skills in
SQL / PLSQL
for data querying, transformation, and performance tuning.
Knowledge of
ETL/ELT
concepts and data pipeline orchestration tools.
Experience with data integration between Snowflake and upstream/downstream systems.
Familiarity with
cloud platforms
(preferably AWS, Azure, or GCP) for deploying and managing data solutions.
Experience with
version control tools
like Git and automation tools in CI/CD pipelines.
Preferred:
Exposure to
Terraform
or
CloudFormation
for infrastructure provisioning.
Experience using data orchestration tools such as
Apache Airflow
or
Prefect
.
Knowledge of data security protocols, role-based access, and compliance standards.
Experience with containerization (Docker) and orchestration (Kubernetes) for data workflows.
Overall Responsibilities
Design, develop, and optimize large-scale data pipelines and transformation workflows on Snowflake and cloud platforms.
Build and maintain scalable, efficient, and secure data models and databases supporting analytics and reporting.
Develop and fine-tune Python scripts for data automation, validation, and integration tasks.
Collaborate with data engineers, analytics teams, and business stakeholders to understand data requirements and deliver insights.
Monitor the performance of data pipelines and optimize queries and workloads for efficiency.
Implement data quality, governance processes, and security best practices across data platforms.
Automate deployment, testing, and infrastructure provisioning using CI/CD and IaC tools.
Stay updated on emerging data technologies, tools, and best practices, recommending improvements.
Performance Outcomes:
Reliable, scalable, and secure data platforms enabling faster insights, better decision-making, and improved operational efficiencies.
Technical Skills (By Category)
Programming Languages:
Essential: Python, SQL, PL/SQL
Preferred: Shell scripting, Java, or other languages for automation
Data & Database Management:
Essential: Snowflake data warehouse, data modeling (star/snowflake schemas)
Preferred: NoSQL databases (MongoDB, DynamoDB)
Cloud Technologies:
Preferred: AWS (S3, Lambda, Glue), Azure, GCP
Frameworks & Libraries:
Essential: SQLAlchemy, Pandas, NumPy, DataFrames in Python
Preferred: Airflow, Apache Spark, PySpark
Development Tools & Methodologies:
Essential: Git, CI/CD pipelines, Terraform, Docker
Preferred: Kubernetes, CloudFormation, DataOps tools
Security & Compliance:
Strong understanding of data security practices, encryption, role-based access controls, and regulatory standards like GDPR or HIPAA.
Experience Requirements
Minimum of
7+ years
supporting enterprise data systems, with a focus on Snowflake and Python-based data solutions.
Proven experience designing, deploying, and managing large-scale data pipelines in cloud environments.
Extensive hands-on experience optimizing data queries and models in Snowflake.
Demonstrable success building automated data workflows, integrations, and transformations.
Experience working in agile, fast-paced enterprise environments, preferably in finance, healthcare, or retail sectors.
Day-to-Day Activities
Develop, test, and deploy scalable data pipelines on Snowflake integrated with cloud platforms.
Write and optimize Python scripts and SQL queries for data ingestion, transformation, and automation.
Collaborate with cross-functional teams to understand data needs and deliver reliable solutions.
Monitor data pipeline performance and troubleshoot issues in real-time.
Perform data quality checks, validation, and security reviews.
Automate infrastructure provisioning and deployment processes as part of CI/CD workflows.
Document data architecture, schemas, workflows, and best practices.
Review and optimize data workflows regularly, incorporating new tools and industry best practices.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or related fields.
7+ years of hands-on experience in data engineering, with in-depth expertise in Snowflake and Python.
Proven track record of designing scalable data pipelines, automation, and analytics solutions.
Certifications in Snowflake, cloud platforms, or data engineering are advantageous.
Strong communication skills for collaborating with technical and business teams.
Professional Competencies
Critical thinking and analytical skills for designing efficient and secure data solutions.
Leadership and mentorship capabilities to guide junior team members.
Excellent stakeholder management and communication skills.
Adaptability to emerging technologies, cloud services, and evolving business requirements.
Ownership mindset with a focus on delivering scalable, maintainable, and compliant data systems.
Effective time management to prioritize tasks and meet project deadlines.
S
YNECHRON’S 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 applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law
.
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