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    Data Engineer - pune, India - Synechron

    Synechron
    Synechron pune, India

    6 days ago

    Default job background
    Accounting / Finance
    Description

    Goodday,

    We have immediate opportunity for Data Engineer.

    Job Role: Data Engineer

    Job Location: Pune Hinjewadi

    Experience 5 to 8 Years.

    Notice Perod : Upto 15 days preferred.

    About Company:

    At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industryleading digital solutions. Synechron's progressive technologies and optimization strategies span endtoend Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobilefirst applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+, and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

    Diversity, Equity, and Inclusion

    Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmativeaction 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.

    Job Description :

    Data Engineer

    Software Requirements:

    Knowledge of data architecture concepts, such as medallion architecture.

    Experience in ETL and data pipeline development.

    Proficiency in working within the Google Cloud Platform.

    Familiarity with Snowflake, especially Snowflake Data Pipelines.

    Experience with Apache Airflow or Google Cloud Composer.

    Competence in data transformation tools like dbt, Google Dataform, or similar.

    Familiarity with Data Quality Check tools such as dbttest, Soda, Google Dataplex, or similar.

    Confidence in the Docker ecosystem; familiarity with Kubernetes basics is a plus.

    Strong proficiency in Python and relevant libraries such as Pandas, NumPy, and similar.

    Advanced SQL skills.

    Overall Responsibilities:

    Collaborate with subject matter experts (SMEs) and data scientists to design and implement ingestiontoconsumption table pipelines for various outcome data sources (e.g., DSP and Ad Server data).

    Work on the implementation phase of the project to deliver the 'Media Data Model' for ColgatePalmolive, which involves defining audiences, building a database and management UI to capture audience definitions, and connecting audience definitions to paid media exposure and transactional/eventbased data from multiple sources.

    Develop and maintain data pipelines adhering to design specifications.

    Ensure data quality and integrity throughout the pipeline processes.

    Collaborate with crossfunctional teams to address datarelated challenges and requirements.

    Categorywise Technical Skills:

    Data Architecture:

    Understanding of data architecture concepts, including medallion architecture.

    ETL and Data Pipeline Development:

    Experience in building ETL processes and data pipelines.

    Cloud Platforms:

    Proficiency in working within the Google Cloud Platform.

    Database Technologies:

    Familiarity with Snowflake, including Snowflake Data Pipelines.

    Workflow Management:

    Experience with Apache Airflow or Google Cloud Composer.

    Data Transformation Tools:

    Competence in tools like dbt, Google Dataform, or similar.

    Data Quality Check Tools:

    Familiarity with tools such as dbttest, Soda, Google Dataplex, or similar.

    Containerization and Orchestration:

    Confidence in the Docker ecosystem; familiarity with Kubernetes basics is a plus.

    Programming Languages:

    Strong proficiency in Python and relevant libraries such as Pandas, NumPy, and similar.

    Advanced SQL skills.

    Experience:

    Minimum of 5 years of experience in data engineering or related fields.

    DaytoDay Activities:

    Collaborate with SMEs and data scientists to understand design specifications.

    Develop and maintain data pipelines according to design specifications.

    Perform data quality checks and ensure data integrity throughout the pipelines.

    Troubleshoot and debug pipeline issues as they arise.

    Document processes, workflows, and configurations.

    Collaborate with crossfunctional teams to address datarelated challenges and requirements.

    Qualifications & Soft Skills:

    Bachelor's degree in Computer Science, Engineering, or related field.

    Strong analytical and problemsolving 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 and adapt to new technologies.

    Preferred Skills and Experience:

    Experience with BigQuery.

    Prior experience with Datorama and working with measurement/outcome data from DSPs.

    Familiarity with adtech and media agency work processes.

    If you find this opportunity interesting kindly share your updated profile on

    With below details (Mandatory)

    Total Experience

    Experience in ETL data pipeline development-

    Experience in Cloud Platforms-

    Experience in Data Transformation Tools

    Experience in SQL –

    Experience in Python-

    Experience in Google Cloud Platform –

    Current CTC

    Expected CTC

    Notice period

    Current Location

    If you had gone through any interviews in Synechron before? If Yes when

    Regards,

    Prasad Taware

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