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Data Lead

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Data Lead

Experience: 5-8 Years
 
Location: Chennai
 
Job Description:
  • Data Architecture Design: Develop and implement scalable and efficient data architectures for batch and real-time data processing. Design and optimize data lakes, warehouses, and marts to support analytical and operational use cases.
  • ETL/ELT Pipelines: Build and maintain robust ETL/ELT pipelines to extract, transform, and load data from diverse sources. Ensure pipelines are highly performant, secure, and resilient to handle large volumes of structured and semi-structured data.
  • Data Quality and Governance: Establish data quality checks, monitoring systems, and governance practices to ensure the integrity, consistency, and security of data assets. Implement data cataloging and lineage tracking for enterprise-wide data transparency.
  • Collaboration with Teams: Work closely with data scientists and analysts to provide accessible, well-structured datasets for model development and reporting. Partner with software engineering teams to integrate data pipelines into applications and services.
  • Cloud Data Solutions: Architect and deploy cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging services such as S3, BigQuery, Redshift, or Snowflake. Optimize cloud infrastructure costs while maintaining high performance.
  • Data Automation and Workflow Orchestration: Utilize tools like Apache Airflow, n8n, or similar platforms to automate workflows and schedule recurring data jobs. Develop monitoring systems to proactively detect and resolve pipeline failures.
  • Innovation and Leadership: Research and implement emerging data technologies and methodologies to improve team productivity and system efficiency. Mentor junior engineers, fostering a culture of excellence and innovation.
 
Experience:
  • 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines.
 
Technical Skills:
  • Proficiency in Python, Java, or Scala for data engineering tasks.
  • Strong SQL skills for querying and optimizing large datasets.
  • Experience with data processing frameworks like Apache Spark, Beam, or Flink.
  • Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend.
  • Experience in pub/sub and stream processing using Kafka/Kinesis or the like.
 
Cloud Platforms:
  • Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services.
 
Data Modeling:
  • Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas).
 
Collaboration:
  • Proven ability to work with cross-functional teams and translate business requirements into technical solutions.
 

Preferred Skills:

  • Familiarity with data visualization tools like Tableau or Power BI to support reporting teams.
  • Knowledge of MLOps pipelines and collaboration with data scientists.
 
Send your resumes to: career@ceiyone.com; saranya.ravikumar@ceiyone.com
 
Note: Please include the role in the subject line of the email.
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Ceiyone offers a variety of roles in software development, project management, IT consulting, and emerging technology positions across departments.

We seek candidates with strong technical skills, problem-solving abilities, and passion for innovation in software and technology development.

Ceiyone values candidates with relevant technical qualifications, experience in software development, and expertise in emerging technologies or business processes.

We provide continuous learning opportunities, mentorship programs, and certifications to support your professional growth within software development and technology roles.

Yes, Ceiyone fosters internal promotions and career growth through training, mentorship, and access to new, challenging projects.

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