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    Data Engineer - Pune, India - Synechron

    Synechron
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    Description
    Job Role:
    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:
    • 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.

    Overall Responsibilities:
    • 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.

    Category-wise Technical Skills:
    • 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.

    Experience: Minimum 5 years in data engineering or related fields.

    Day-to-Day Activities:
    • 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.

    Qualifications & Soft Skills:
    • 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.

    Preferred Skills and Experience:
    • Experience with BigQuery.
    • Prior experience with Datorama and DSP data.
    • Familiarity with adtech and media agencies.

    If you are intrigued by this opportunity, kindly share your profile details with us. Regards, Prasad Taware

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