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Senior Data Engineer - Python / PySpark

Senior Data Engineer - Python / PySpark

Aezion.IncCoimbatore
25 days ago
Job description

Key Responsibilities :

Delivery & Customer Focus :

  • Serve as the primary point of contact for customers, ensuring successful delivery of data and analytics solutions.
  • Translate complex customer requirements into scalable, high-impact data solutions.
  • Maintain a strong focus on stakeholder engagement and satisfaction, ensuring delivery meets or exceeds expectations.

Technology & Market Adaptation :

  • Architect and implement scalable, cloud-agnostic data solutions using technologies such as Big Data, streaming Platforms Databricks, Snowflake, Redshift, python, pyspark, Kafka, SQL Server, PostgreSQL on any Cloud ( AWS / Azure / GCP).
  • Stay ahead of technology trends in data engineering, cloud computing, and big data platforms to ensure competitive offerings.
  • Evaluate and adopt emerging tools and frameworks that enhance productivity, performance, and innovation.

    • Cross-Functional Collaboration with Global Teams :

  • Act as a bridge between technical and non-technical stakeholders, translating business needs into technical execution.
  • Promote knowledge sharing and alignment across functional and geographical team boundaries.

    • Team Leadership and Development :

  • Lead, mentor, and develop a high-performing global team of 20+ data professionals across onshore and offshore locations.
  • Foster a culture of accountability, innovation, and continuous learning within the data team.
  • Establish career development plans and performance metrics to drive individual and team growth that aligns with organizational KPIs.
  • Align team structure and skill sets with evolving business and technology needs.

    • Process Improvement and Reporting :

  • Define and continuously refine best practices in Technology frameworks and operational processes.
  • Drive improvements in data quality, performance, and governance across the data lifecycle.
  • Track team utilization and proactively forecast upcoming bench time, ensuring maximum billing efficiency and planning for resource allocation.
  • Achieve and maintain 100% billing utilization by aligning team capacity with project demands.
  • Generate and share regular utilization and billing reports with the leadership team to inform resourcing and financial strategies.
  • Lead initiatives to automate and streamline data processes, reducing manual effort and increasing delivery speed.

    • Required Skills and Qualifications :

  • 10+ years of experience in Data Engineering and Analytics, with at least 35 years in a leadership role.
  • Proven experience managing global teams, both onsite and offshore.
  • Strong hands-on technical background in Big Data, streaming Platforms,Databricks / Snowflake / Redshift, Python / PySpark, SQL Server, PostgreSQL, Kafka on any Cloud ( AWS / Azure / GCP), and modern BI tools.
  • Demonstrated ability to design and scale data pipelines and architectures in large, complex environments.
  • Excellent soft skills including leadership, client communication, and stakeholder management.
  • A successful track record of pre-sales engagement and proposal development with high closure rates.
  • Strong problem-solving mindset with the ability to think strategically and execute tactically.

    • Preferred Qualifications :

  • Masters or Bachelors degree in Computer Science, Data Science, Engineering, or related field.
  • Experience working in consulting or services-based environments.
  • Familiarity with governance, data security, and compliance best practices.

    • Soft Skills :

  • Strategic thinking and strong problem-solving abilities.
  • Leadership and team mentoring.
  • Business-oriented mindset with attention to detail.

    • (ref : hirist.tech)

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    Senior Data Engineer • Coimbatore