Data Engineer

1 month ago


Bangalore, Karnataka, India Recruit Elite Full time

Role & Responsibilities :


- Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse


- Optimize and tune SQL queries for improved performance and efficiency


- Collaborate with data scientists, analysts, and product managers to understand data requirements and deliver high-quality data solutions


- Implement data quality checks and monitoring systems to ensure data accuracy and reliability


- Develop and maintain documentation for data models, ETL processes, and data flows


- Work with BI tools to create and optimize dashboards and reports for business users


- Participate in data governance initiatives and ensure compliance with data privacy regulations


- Continuously evaluate and implement new technologies and best practices in data engineering


Ideal Candidate :


- Bachelor's degree in computer science, Information Systems, or a related field


- Minimum of 4 years of experience as a Data Engineer or in a similar role


- Expert-level proficiency in SQL, including complex queries, stored procedures, and performance tuning


- Strong experience with data warehousing concepts and techniques


- Proficiency in working with BI tools such as Tableau, Power BI, or Looker


- Experience with ETL tools and processes (e.g., Apache Airflow, Talend, or custom ETL pipelines)


- Solid understanding of data modeling techniques (e.g., dimensional modeling, star schema)


- Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, or Azure Synapse)


- Experience with version control systems (e.g., Git) and CI/CD practices


- Strong problem-solving skills and attention to detail Preferred


Qualifications :


- Experience with big data technologies (e.g., Hadoop, Spark)


- Knowledge of programming languages such as Python, Java, or Scala


- Familiarity with data streaming technologies (e.g., Kafka, Apache Flink)


- Experience with NoSQL databases (e.g., MongoDB, Cassandra)


- Understanding of machine learning concepts and their data requirements


- Certifications in relevant technologies or platforms

(ref:hirist.tech)
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