Senior Data Engineer
Aezion.IncBangalore14 days ago
Job descriptionArchitect 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. 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. Lead, mentor, and develop a high-performing global team 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. 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. 8+ years of experience in Data Engineering and Analytics, with at least 2+ years in a leadership role. Proven experience managing global teams, both onsite and offshore. Strong SQL Server development, T-SQL, SSIS experience is mandatory. 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. 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.
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 :
Cross-Functional Collaboration with Global Teams :
Team Leadership and Development :
Process Improvement and Reporting :
Required Skills and Qualifications :
Preferred Qualifications :
(ref : hirist.tech)
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Senior Data Engineer • Bangalore
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