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Techaxis, Inc

Data Engineer (AI & ML)

Techaxis, Inc, San Francisco, California, United States, 94199

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We are looking for a

Data Engineer with IT industry experience With AI or ML exp Technical Skills: Minimum of 7 years of total experience Proficiency in programming languages such as Python, Java, or Scala for data processing. Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL, MS SQL Server). Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase). Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake). Hands-on experience with ETL frameworks and tools (e.g., Apache NiFi, Talend, Informatica, Airflow). Knowledge of big data technologies (e.g., Hadoop, Apache Spark, Kafka). Experience with cloud platforms (AWS, Azure, Google Cloud) and related services for data storage and processing. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) for building scalable data systems. Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence). Understanding data modeling concepts (e.g., star schema, snowflake schema) and how they relate to data warehousing and analytics. Knowledge of data lakes, data warehousing architecture, and how to design efficient and scalable storage solutions. About us: Techaxis Inc. is headquartered in Northern Virginia, USA. We are ranked #3294 in Inc 5000 and #105 in Inc 5000 DC Metro Series, SWaM, and WBE Certified technology talent search firm. Our clients provide equal opportunities to all its employees and all qualified applicants for employment, without regard to their race, caste, religion, color, ancestry, marital status, sex, age, nationality, disability, and veteran status. Employees of our clients are treated with dignity and in accordance with their policy to maintain a work environment free of sexual harassment, whether physical, verbal, or psychological. Employee policies and practices are administered in a manner that would ensure that in all matters equal opportunity is provided to those eligible and the decisions are merit-based. Seniority level

Mid-Senior level Employment type

Full-time Job function

Consulting and Engineering Industries

IT Services and IT Consulting and Software Development

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