- Knowledge of data architecture concepts like medallion architecture.
- Experience in ETL and data pipeline development.
- Proficiency in Google Cloud Platform.
- Familiarity with Snowflake and Snowflake Data Pipelines.
- Experience with Apache Airflow or Google Cloud Composer.
- Competence in data transformation tools like dbt and Google Dataform.
- Familiarity with Data Quality Check tools such as dbttest and Soda.
- Proficiency in Python including libraries like Pandas and NumPy.
- Advanced SQL skills.
- Collaborate with SMEs and data scientists to design and implement data pipelines.
- Develop and maintain data pipelines ensuring quality and integrity.
- Work with cross-functional teams to address data-related challenges.
- Data Architecture: Understand data architecture concepts.
- ETL and Data Pipeline Development: Experience in building ETL processes and data pipelines.
- Cloud Platforms: Proficiency in Google Cloud Platform.
- Database Technologies: Familiarity with Snowflake.
- Workflow Management: Experience with Apache Airflow or Google Cloud Composer.
- Data Transformation Tools: Competence in tools like dbt and Google Dataform.
- Data Quality Check Tools: Familiarity with tools like dbttest and Soda.
- Containerization and Orchestration: Confidence in Docker ecosystem.
- Programming Languages: Strong proficiency in Python and SQL.
- Collaborate with SMEs and data scientists.
- Develop and maintain data pipelines.
- Perform data quality checks.
- Troubleshoot and debug pipeline issues.
- Document processes and configurations.
- Collaborate with cross-functional teams.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and in a team environment.
- Attention to detail and commitment to quality.
- Proactive mindset with a willingness to learn.
- Experience with BigQuery.
- Prior experience with Datorama and DSP data.
- Familiarity with adtech and media agencies.
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Data Engineer - Pune, India - Synechron
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Description
Data Engineer
Job Location:
Pune Hinjewadi
About Company:
At Synechron, we leverage digital solutions to enhance businesses. Our firm specializes in cutting-edge technologies such as Artificial Intelligence, Cloud & DevOps, and Data. With a global presence, we cater to leading financial services and technology companies.
Diversity, Equity, and Inclusion
Diversity & Inclusion are pivotal to our culture. Synechron is a fair workplace and an equal opportunity employer. Our DEI initiative 'Same Difference' fosters an inclusive environment. We welcome applicants from diverse backgrounds.
Job Description:
Data Engineer
Software Requirements:
Overall Responsibilities:
Category-wise Technical Skills:
Experience: Minimum 5 years in data engineering or related fields.
Day-to-Day Activities:
Qualifications & Soft Skills:
Preferred Skills and Experience:
If you are intrigued by this opportunity, kindly share your profile details with us. Regards, Prasad Taware