Job Location : Kochi, chennai, pune, Trivandrum

Experience : 6 Yr

CTC Budget : 2800000 to 2800000

Posted At : 17-Dec-2025

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We are seeking a skilled Data Engineer to design, build, and maintain data pipelines and data models that support analytical and business intelligence needs. The ideal candidate will have hands-on experience with Python or SQL, Google Cloud Platform (GCP), and a strong understanding of data management, quality, and security best practices.

Key Responsibilities

•        Build and maintain moderately complex data pipelines, ensuring data flow, transformation, and usability for analytical projects.

•        Design and implement data models, optimizing for performance and scalability.

•        Apply knowledge of data characteristics and supply patterns to develop rules and tracking processes that support data quality models.

•        Prepare data for analytical use by gathering, integrating, cleansing, and structuring data from multiple sources and systems.

•        Perform design, creation, and interpretation of large and highly complex datasets.

•        Troubleshoot pipeline and data issues to ensure accuracy and reliability.

•        Stay up-to-date with GCP advancements and recommend innovative solutions.

•        Implement security best practices within data pipelines and cloud infrastructure.

•        Collaborate with global teams to share and adopt best practices in data management, maintenance, reporting, and security.

•        Develop and execute data quality checks to ensure consistency and integrity.

•        Work with credit data products and perform analysis using tools like Google BigQuery, BigTable, DataFlow, and Spark/PySpark.

 

Mandatory Skills

•        Candidate should have 6+ years in Data 

•        3+ years in Google Cloud data side 

•        4+ years in Python 

•        Python or SQL Proficiency: Experience with Python or SQL and intermediate scripting for data manipulation and processing.

•        GCP & Cloud Fundamentals: Intermediate understanding and experience with Google Cloud Platform (GCP) and overall cloud computing concepts.

•        Data Pipeline Construction: Proven ability to build, maintain, and troubleshoot moderately complex pipelines.

•        Data Modeling & Optimization: Experience designing and optimizing data models for performance.

•        Data Quality Governance: Ability to develop rules, tracking processes, and checks to support a data quality model.

•        Data Preparation & Structuring: Skilled in integrating, consolidating, cleansing, and structuring data for analytical use.

•        Security Implementation: Knowledge of security best practices in pipelines and cloud infrastructure.

•        Big Data Analysis Tools: Hands-on experience with Google BigQuery, BigTable, DataFlow, Scala + Spark or PySpark.

•        Advanced Data Formats: Experience working with JSON, AVRO, and PARQUET formats.

•        Communication & Best Practices: Strong communication skills to promote global best practices and guide adoption.

Preferred Qualifications

•        Cloud certification (e.g., GCP Data Engineer, AWS, Azure).

•        Experience with credit data products.

•        Familiarity with data governance frameworks and metadata management tools.