Data Engineer

4 weeks ago

Delhi, India Infomatics Corp Full time

Position Overview: We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a critical role in designing, building, and maintaining our data infrastructure and systems. You will collaborate closely with cross-functional teams to ensure the reliability, scalability, and efficiency of our data pipelines and analytics platforms.

Key Responsibilities:
Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources.
Data Modeling and Architecture: Design and implement data models, schemas, and architectures that support the needs of our analytics, reporting, and machine learning initiatives.
Data Integration: Integrate disparate data sources and systems, ensuring data consistency, accuracy, and integrity across the organization.
Performance Optimization: Identify and implement optimizations to improve the performance, reliability, and efficiency of data processing and storage systems.
Data Quality Assurance: Implement data quality checks, validation rules, and monitoring mechanisms to ensure data accuracy, completeness, and consistency.
Tooling and Infrastructure: Evaluate, select, and implement appropriate tools, technologies, and infrastructure for data storage, processing, and analytics.
Collaboration and Communication: Collaborate with cross-functional teams, including Data Scientists, Analysts, and Software Engineers, to understand data requirements and deliver data-driven solutions. Communicate effectively with stakeholders to present findings, share insights, and address challenges.
Documentation and Best Practices: Document data pipelines, architectures, and processes. Establish and promote best practices for data engineering within the organization.

Qualifications:
Bachelor‘s or Master‘s degree in Computer Science, Engineering, or a related field.
Proven experience 10 years working as a Data Engineer or a similar role in a fast-paced, data-driven environment.
Proficiency in programming languages such as Python, Java, or Scala, with a strong emphasis on data processing and manipulation.
Experience with distributed computing frameworks such as Apache Hadoop, Spark, or Flink.
Solid understanding of database systems, including SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
Experience with cloud platforms and services, such as AWS, Google Cloud Platform, or Azure.
Familiarity with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
Strong analytical and problem-solving skills, with a keen attention to detail.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Preferred Qualifications:
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Knowledge of streaming data processing technologies (e.g., Kafka, Spark Streaming).
Experience with data visualization tools (e.g., Tableau, Power BI) and BI platforms.
Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer).

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