Data Engineer

Job Title: Data Engineer Location: Remote (India) Experience Required: 5 years About the Role: We are seeking a skilled Data Engineer with 5 years of experience to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure supports our business objectives and analytics needs. Key Responsibilities: - Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources. - Collaborate with data scientists and analysts to understand data requirements and provide necessary data access. - Optimize and maintain existing data architectures for performance and scalability. - Ensure data quality and integrity through comprehensive testing and validation processes. - Monitor and troubleshoot data pipeline performance issues and implement solutions. - Develop and maintain documentation for data processes, architectures, and standards. - Implement data security and compliance measures in line with industry best practices. - Stay updated on emerging technologies and trends in data engineering and analytics. - Participate in code reviews and contribute to team knowledge sharing. Required Skills: - Proficient in programming languages such as Python, Java, or Scala. - Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). - Knowledge of data warehousing solutions (e.g., Amazon Redshift, Google BigQuery). - Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi). - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Good to Have Skills: - Experience with big data technologies (e.g., Hadoop, Spark). - Familiarity with data visualization tools (e.g., Tableau, Power BI). - Knowledge of machine learning concepts and frameworks. - Understanding of data governance and data management best practices. Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or a related field. - Relevant certifications in data engineering or cloud technologies are a plus. Salary Range: 10 LPA - 15 LPA Employment Type: Full-time Work Mode: Remote