Databricks Sr. Developer/Lead/Architect

5 days ago

India iVedha Inc. Full time

Job Description About Role: We are seeking a skilled and experienced Databricks Developer / Architect to join our dynamic team. The ideal candidate will have a strong background in data engineering, analytics, and cloud computing. You will be responsible for designing, implementing, and maintaining data pipelines and analytics solutions using Databricks. Key Responsibilities: - Data Pipeline Development:Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark. - Data Integration:Integrate data from various sources, including databases, APIs, and cloud storage, into Databricks. - Data Transformation:Perform data cleaning, transformation, and aggregation to prepare data for analysis and reporting. - Performance Optimization:Optimize data processing workflows for performance and scalability. - Collaboration:Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions. - Monitoring and Troubleshooting:Monitor data pipelines and workflows to ensure reliability and troubleshoot issues as they arise. - Documentation:Create and maintain comprehensive documentation for data pipelines, processes, and best practices. Qualifications: - Experience:3-10 years of experience in data engineering, data analytics, or a related field. - Experience with data visualization tools (e.g., Tableau, Power BI). - Familiarity with machine learning and data science workflows. Technical Skills: - Proficiency in Databricks and Apache Spark. - Strong programming skills in Python, Scala, or Java. - Experience with SQL and relational databases. - Knowledge of cloud platforms (AWS, Azure, GCP) and their data services. - Familiarity with data warehousing concepts and ETL processes. - Understanding of big data technologies and frameworks. Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Ability to work independently and as part of a team. - Attention to detail and a commitment to quality. Education: - Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (or equivalent experience). - Certifications in Databricks or cloud platforms (e.g., Databricks Certified Associate Developer, AWS Certified Big Data Specialty).

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