Data Engineer lead

Working at Aezion

Aezion is a mission-driven growing company fueled by our Purpose and guided by our values (Love, Dependability, Humble, Diversity, Speed and Innovation). Our Purpose is why we exist. Our Values drive how we go about that existence and represent who we are. Service defines us at Aezion. Our 200+ dedicated, aligned employees pour their life energies to transform our customers into lifelong partners through service excellence.

Senior Data Engineer/Lead

Fulltime

Bengaluru/Coimbatore

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 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:

• 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.