Senior Analyst-GCP Data Engineer

Elevate Your Impact Through Innovation and Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance.

About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.

What you will be doing at Evalueserve

Data Pipeline Development: Design and implement scalable ETL (Extract, Transform, Load) pipelines using tools like Cloud Dataflow, Apache Beam or Spark and BigQuery.

Data Integration: Integrate various data sources into unified data warehouses or lakes, ensuring seamless data flow.

Data Transformation: Transform raw data into analyzable formats using tools like dbt (data build tool) and Dataflow.

Performance Optimization: Continuously monitor and optimize data pipelines for speed, scalability, and cost-efficiency.

Data Governance: Implement data quality standards, validation checks, and anomaly detection mechanisms.

Collaboration: Work closely with data scientists, analysts, and business stakeholders to align data solutions with organizational goals.

Documentation: Maintain detailed documentation of workflows and adhere to coding standards.

What were looking for

Proficiency in **Python/PySpark and SQL for data processing and querying.

Expertise in GCP services like BigQuery, Cloud Storage, Pub/Sub, Cloud composure and Dataflow.

Familiarity with Datawarehouse and lake house principles and distributed data architectures.

Strong problem-solving skills and the ability to handle complex projects under tight deadlines.

Knowledge of data security and compliance best practices.

Certification: GCP Professional Data engineer.

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Disclaimer : The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.