
AI Data Engineer
Nagarro
Remote 3-6 yrs Posted 13 days ago 1 openings
Not disclosedRemoteData EngineerInformation Technology (IT)Software Development
About this job
Nagarro, a leading global company in digital product engineering, is actively seeking a highly skilled and motivated Data Engineer to join our innovative team. This pivotal role offers an exceptional opportunity for an experienced professional to design, develop, and maintain robust data pipelines and analytical solutions. As a Data Engineer at Nagarro, you will be instrumental in transforming complex datasets into actionable business insights, driving critical decision-making processes, and contributing to cutting-edge projects leveraging modern data technologies.
Key Responsibilities
- Develop, maintain, and optimize interactive dashboards and comprehensive reports utilizing Tableau to visualize key performance indicators and business trends.
- Perform advanced data extraction, transformation, and analysis on large, complex datasets using Python, MySQL, and SQL to support various business units.
- Leverage specialized data manipulation libraries such as Pandas and NumPy for efficient data analysis, cleansing, and transformation processes.
- Integrate diverse data sources into unified data models, ensuring the accuracy, consistency, and reliability of all data assets.
- Collaborate closely with business stakeholders to meticulously gather requirements, define project scopes, and deliver high-quality, impactful reporting solutions.
- Generate routine and ad-hoc analytical reports, providing clear, concise, and actionable business insights to senior management and operational teams.
- Support the automation and scheduling of data workflows using Apache Airflow, enhancing operational efficiency and data freshness.
- Efficiently query and interact with analytical databases like ClickHouse to retrieve and process high-volume data.
- Work in tandem with cross-functional Data Engineering and IT teams to implement robust data validation procedures and facilitate new data development initiatives.
- Actively participate in Agile development ceremonies, contributing to sprint planning, daily stand-ups, and retrospectives, and meticulously document reporting processes and data workflows.
Requirements
- Proven experience of 3-6 years in a dedicated Data Engineer or similar role, demonstrating a strong track record in data manipulation and analysis.
- Expertise in Python programming for data processing, scripting, and automation, coupled with extensive experience with Pandas and NumPy libraries.
- Proficiency in SQL and MySQL for database querying, management, and optimization.
- Solid experience in developing and maintaining dashboards and reports using Tableau; familiarity with Power BI is a significant plus.
- Hands-on experience with workflow automation and scheduling tools, particularly Apache Airflow.
- Familiarity with analytical databases such as ClickHouse.
- Strong analytical acumen and exceptional problem-solving capabilities, with a keen eye for detail.
- Demonstrated ability to work effectively in an Agile development environment.
- Excellent communication skills, both written and verbal, and proven experience in stakeholder management.
What We Offer
- An exciting opportunity to work with a leading global digital product engineering company, pushing the boundaries of technology.
- A collaborative and innovative work environment where your contributions as a Data Engineer will directly impact business outcomes.
- Continuous learning and professional development opportunities to enhance your skills in data engineering and analytics.
- Exposure to diverse and challenging projects across various industries, utilizing modern data technologies.
- A culture that fosters growth, encourages new ideas, and supports a healthy work-life balance.
Eligibility
Professionals • 3-6 years of experience
Skills
AirflowClickHouseMySQLNumPyPandasPower BIPythonSQLTableau
Perks & facilities
Certificate / Experience LetterLaptop / Equipment ProvidedStipend / SalaryTraining and Mentorship