Senior Data Engineer

4 weeks ago

Thane, India CareerXperts Consulting Full time

We are looking for a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in modern data engineering tools and frameworks, along with the ability to collaborate closely with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build and optimize data architectures to support analytics, reporting, and machine learning initiatives.
  • Manage and optimize data storage solutions (data warehouses, data lakes, cloud platforms).
  • Ensure data quality, integrity, governance, and security across systems.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions aligned with business goals.
  • Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.
  • Mentor junior engineers and contribute to best practices and coding standards.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Proven experience (X+ years) as a Data Engineer, with at least Y years in a senior role.
  • Strong proficiency in SQL and experience with relational as well as NoSQL databases.
  • Expertise in programming languages such as Python, Java, or Scala.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with big data technologies (Hadoop, Spark, Kafka, Hive, etc.).
  • Strong understanding of data modeling, ETL processes, and workflow orchestration tools (Airflow, Luigi, etc.).
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Preferred Skills

  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Knowledge of streaming data processing frameworks.
  • Exposure to DevOps practices and CI/CD pipelines.
  • Familiarity with machine learning workflows and MLOps.

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