Markovate - Senior Data Engineer - ETL/Python

Job Description : We are seeking an experienced Data Engineer with a background in data integration, ETL processes, and data warehousing. The ideal candidate will have 5-7 years of experience in data engineering, with advanced knowledge of data architecture, pipeline creation, and big data technologies. This role demands a proactive individual skilled in designing, building, and maintaining data systems, collaborating with cross-functional teams, and ensuring the highest standards of data quality and performance. Job Responsibilities : - Design, develop, and maintain scalable data pipelines for data ingestion, processing, and storage. - Build and optimize data architectures and data models for efficient data storage and retrieval. - Develop complex ETL processes to transform and load data from various sources into data warehouses and data lakes. - Ensure data integrity, quality, and security across all data systems. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. - Monitor, troubleshoot, and optimize data pipelines and workflows to ensure high availability and performance. - Document data processes, architectures, and data flow diagrams. Candidate Required Skills : - Bachelor's degree in Computer Science, Engineering, or a related field. - 5-7 years of experience in data engineering and data architecture. - Proficiency in SQL and at least one programming language (e. , Python, Java, Scala). - Advanced experience with cloud data platforms (e. , AWS, Azure, GCP) and their data services. - Strong knowledge of ETL tools and frameworks (e. , Apache NiFi, Talend, Informatica). - Expertise in data modeling, data structures, and database design. - Strong analytical and problem-solving skills, with the ability to handle complex data challenges. - Excellent communication and collaboration skills, with the ability to work independently and as part of a team. - Experience with data warehousing solutions (e., Redshift, BigQuery, Snowflake). - Hands-on experience with big data technologies (e. , Hadoop, Spark, Kafka). - Knowledge of data governance and best practices in data management. - Familiarity with containerization and orchestration tools (e. , Docker, Kubernetes). - Experience with data visualization tools (e. , Tableau, Power BI) (ref:hirist.tech)

Location: in, IN

Posted Date: 11/13/2024