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Open nowPosted 6 days ago

Data Engineer - AWS/Databricks

AuxoAI54 open roles

Where
Bangalore North, Karnataka, India
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Your applicationOpen nowData Engineer - AWS/DatabricksAuxoAI · Bangalore North, Karnataka, India

  1. YouYes, apply to this one.

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 6 days ago

The posting

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) and Databricks technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure. Responsibilities: • Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Databricks. • Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives. • Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness. • Implement data governance and security best practices to ensure compliance and data integrity. • Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring. • Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities. Requirements • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines. • Proficiency in Databricks, AWS services, particularly S3, Glue, EMR, Lambda, and Redshift. • Strong programming skills in languages such as Python, Java, or Scala. • Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies. • Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

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