Data Engineer

4 days ago

Chennai, Tamil Nadu, India Risk Resources LLP Full time ₹ 15,00,000 - ₹ 25,00,000 per year
Overview
  • Ability to design database structure and experience in SQL programming language 
  • Experience in data modelling, data cleansing and ETLs (extract, transform and loads)
  • Experience in data integration tool such as SSIS
  • Familiarity with Tableau like Business Intelligence tool
  • Understanding of Insurance and pensions domain
  • Experience in Agile working

Key Responsibilities
  • Design and implement data models to ensure high data integrity.
  • Build and maintain efficient ETL pipelines for data extraction, transformation, and loading.
  • Optimize data storage solutions for performance and scalability.
  • Work with data scientists to define data requirements and ensure access to necessary data.
  • Collaborate with IT teams to ensure infrastructure is aligned with data storage and processing requirements.
  • Implement data governance and compliance measures to safeguard data security.
  • Monitor and troubleshoot data pipeline systems to ensure reliability.
  • Document data engineering processes and architectures for future reference.
  • Keep up to date with emerging technologies and trends in data engineering.
  • Automate repetitive tasks using scripting languages.
  • Evaluate and recommend tools and technologies for data management purposes.
  • Participate in system design reviews to ensure data integration effectiveness.
  • Provide support for data-related incident resolution and troubleshooting.
  • Conduct performance tuning of existing data processes.
  • Contribute to the establishment of best practices for data engineering.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering or a related role.
  • Strong proficiency in SQL and relational databases.
  • Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
  • Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
  • Proficiency in programming languages such as Python or Java.
  • Experience in designing and implementing data warehouses.
  • Familiarity with data pipeline tools such as Apache Airflow or similar.
  • Understanding of data architecture best practices.
  • Experience with data visualization tools is a plus.
  • Knowledge of data governance and data quality frameworks.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work in fast-paced environments and manage multiple priorities.
  • Familiarity with version control systems like Git.

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