Data Engineer I
Bangalore, Karnataka, India Full-time Technology & Engineering
Data Engineer
We are seeking a highly skilled and motivated Data Engineer to join our growing team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines, with hands-on experience in ETL processes, Python programming, Apache Airflow, Apache Spark, and Neo4j graph database technology. You will play a crucial role in designing, implementing, and managing our data infrastructure to support our data-driven initiatives.
Responsibilities:
- Design, build, and maintain robust and scalable ETL pipelines to ingest data from a wide variety of sources.
- Develop and optimize data processing workflows and data models for efficiency and reliability.
- Utilize Apache Spark for large-scale data processing and complex data transformations.
- Orchestrate and schedule data pipelines using Apache Airflow, ensuring timely and accurate data delivery.
- Write clean, efficient, and well-documented Python code for data manipulation and automation.
- Model, implement, and manage graph databases using Neo4j to uncover relationships and insights within our data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
- Ensure data quality and integrity through rigorous testing and validation.
- Monitor, troubleshoot, and resolve issues related to data pipelines and infrastructure.
- Stay up to date with emerging technologies and best practices in data engineering.
Qualifications:
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in Python and its data-related libraries (e.g., Pandas, PySpark).
- Hands-on experience with ETL concepts and tools.
- Demonstrable experience with Apache Spark for distributed data processing.
- In-depth knowledge of workflow management and orchestration using Apache Airflow.
- Experience with graph databases, specifically Neo4j, including data modelling and Cypher query language.
- Solid understanding of SQL and NoSQL databases.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities
- Bachelor’s degree in computer science, Engineering, or a related field.