Data Engineer

4 weeks ago

Bengaluru, India getlista.io Full time

Senior Data Engineer : The Senior Data Engineer will design, develop, and maintain scalable data pipelines and infrastructure to support data-driven decision-making and advanced analytics. This role requires deep expertise in data engineering, strong problem-solving skills, and the ability to collaborate with cross-functional teams to deliver robust data solutions.Key Responsibilities : - Data Pipeline Development : Design, build, and optimize scalable, secure, and reliable data pipelines to ingest, process, and transform large volumes of structured and unstructured data.- Data Architecture : Architect and maintain data storage solutions, including data lakes, data warehouses, and databases, ensuring performance, scalability, and cost-efficiency.- Data Integration : Integrate data from diverse sources, including APIs, third-party systems, and streaming platforms, ensuring data quality and consistency.- Performance Optimization : Monitor and optimize data systems for performance, scalability, and cost, implementing best practices for partitioning, indexing, and caching.- Collaboration : Work closely with data scientists, analysts, and software engineers to understand data needs and deliver solutions that enable advanced analytics, machine learning, and reporting.- Data Governance : Implement data governance policies, ensuring compliance with data security, privacy regulations (e.g., GDPR, CCPA), and internal standards.- Automation : Develop automated processes for data ingestion, transformation, and validation to improve efficiency and reduce manual intervention.- Mentorship : Guide and mentor junior data engineers, fostering a culture of technical excellence and continuous learning.- Troubleshooting : Diagnose and resolve complex data-related issues, ensuring high availability and reliability of data systems.- Education : Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.- Experience : 3+ years of experience in data engineering or a related role, with a proven track record of building scalable data pipelines and infrastructure.Technical Skills : - Proficiency in programming languages such as Python, Java, or Scala.- Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).- Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., Redshift, BigQuery, Snowflake).- Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and data integration frameworks.- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed systems.- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.Soft Skills :- Excellent problem-solving and analytical skills.- Strong communication and collaboration abilities.- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.- Certifications (optional but preferred) : Cloud certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) or relevant data engineering certifications.Preferred Qualifications :- Experience with real-time data processing and streaming architectures.- Familiarity with machine learning pipelines and MLOps practices.- Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data pipelines.- Experience in industries with high data complexity, such as finance, healthcare, or e-commerce. (ref:hirist.tech)

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