Data Engineer

3 weeks ago

Udupi, Karnataka, India Robosoft Technologies Full time
Job Title: Data Engineer

Job Summary:
We are seeking a highly skilled Data Engineer to join our team at Robosoft Technologies. As a Data Engineer, you will play a crucial role in designing and building data-forward solutions that drive business growth and innovation.

Responsibilities:
  • Collaborate with product teams and data analysts to design and develop data-driven solutions that meet business requirements.
  • Build and deploy scalable data pipelines using cloud-based technologies such as AWS and Azure.
  • Integrate with various data sources and APIs to collect and process large datasets.
  • Develop and maintain dimensional data warehouses to support business intelligence tools.
  • Design and implement data catalogs and data validations to ensure data quality and accuracy.
  • Drive a culture of innovation and experimentation to stay ahead of the curve in data engineering.
  • Develop and maintain strong Python and SQL development skills to support data movement and processing.
  • Investigate and understand different data sources and APIs to connect to a wide variety of 3rd party systems.
  • Design, enhance, and implement ETL/data ingestion platforms on the cloud.
  • Develop ETL source and target mapping design/specifications based on business requirements.
  • Develop load and transformation processes to support business requirements, validate that they meet business and technical specifications, manage ongoing maintenance of the system and data, and make recommendations for process improvements to optimize data movement from source to target.
  • Provide production and operational support to existing ETL jobs, monitor and manage production ETL jobs to verify execution and measure performance to assure ongoing data quality and optimization of the system to manage scalability and performance and identify improvement opportunities for key ETL processes.
  • Strong troubleshooting and problem-solving skills in large data environments.
  • Capable of investigating, familiarizing, and mastering new data sets quickly.

Supervisory Responsibility:
This position will not include supervising one or more employees where applicable.

Education/Experience:
  • Bachelor's degree – Computer Science or equivalent.
  • Strong background in scripting languages using Python, Bash, Perl, PHP, or any other language to solve data problems.
  • Experience with relational SQL and NoSQL databases, including Postgres, Neo4j, and MongoDB.
  • Experience with Big Data tools; Hadoop, Spark, Kafka, Hive, etc.
  • Proficiency with data exchange types and protocols (JSON, XML, SOAP, REST).
  • Experience with Stream Processing systems: Apache Storm, Spark-Streaming, etc.
  • Experience with BI tools like Tableau or any other open-source BI tools.
  • Proficiency with the AWS cloud services: EC2, EMR, RDS, S3, Redshift (Spectrum).
  • Exposure to cloud platforms (preferably AWS).

Knowledge, Skills, & Abilities:
  • Knowledge of the Python data ecosystem using pandas and NumPy.
  • Data integration tools.
  • Proficiency in SQL, data modeling, and data warehousing.
  • Excellent problem-solving skills.
  • Exposure to cloud platforms (preferably AWS).

Equipment/Software Used:
  • Microsoft Office Suite (Outlook, Word, Excel, PowerPoint).
  • SQL, MySQL, or other relational databases.
  • Linux, Python, AWS Stack (EC2, EMR, S3, Redshift).
  • Tableau or any other data visualization tool.
  • SiteCatalyst (Omniture)/Google Analytics or any other web analytics tools experience (nice to have).

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