Data Engineering

3 weeks ago

Bengaluru, Karnataka, India ScaleneWorks People Solutions Full time

Job Title Middleware Engineer Position Data Engineer Experience 5-6yrs Category IT Infrastructure Main location India Karnataka Bangalore Employment Type Full Time Qualification Bachelor s degree in Computer Science or related field or higher Roles and ResponsibilitiesData Engineer - 5-6 years experience Responsibilities Design develop and maintain data architectures pipelines and workflows for the collection processing storage and retrieval of large volumes of structured and unstructured data from multiple sources Collaborate with cross-functional teams to identify and prioritize data engineering requirements and to develop and deploy data-driven solutions to address business challenges Build and maintain scalable data storage and retrieval systems e g data lakes data warehouses databases fault-tolerant and high-performance data platforms on cloud infrastructure such as AWS Azure or Google Cloud Platform Develop and maintain ETL workflows data pipelines and data transformation processes to prepare data for machine learning and AI applications Implement and optimize distributed computing frameworks such as Hadoop Spark or Flink to support high-performance and scalable processing of large data sets Build and maintain monitoring alerting and logging systems to ensure the availability reliability and performance of data pipelines and data platforms Collaborate with Data Scientists and Machine Learning Engineers to deploy models on production environments and ensure their scalability reliability and accuracy Requirements Bachelors or masters degree in computer science engineering or related field At least 5-6 years of experience in data engineering with a strong background in machine learning cloud computing and big data technologies Experience with at least one major cloud platform AWS Azure GCP Proficiency in programming languages like Python Java and SQL Experience with distributed computing technologies such as Hadoop Spark and Kafka Familiarity with database technologies such as SQL NoSQL NewSQL Experience with data warehousing and ETL tools such as Redshift Snowflake or Airflow Strong problem-solving and analytical skills Excellent communication and teamwork skills Preferred qualification Experience with DevOps practices and tools such as Docker Kubernetes or Ansible Terraform Experience with data visualization tools such as Tableau Superset Power BI or Plotly D3 js Experience with stream processing frameworks such as Kafka Pulsar or Kinesis Experience with data governance data security and compliance Experience with software engineering best practices and methodologies such as Agile or Scrum Must Have Skillsdata engineer with expertise in machine learning cloud computing and big data technologies Data Engineering Experince on multiple clouds one of them preferably GCP data lakes data warehouses databases ETL workflows data pipelines data platforms Hadoop Spark or Flink Hadoop Spark and Kafka SQL NoSQL NewSQL Redshift Snowflake or Airflow

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