Senior Data Engineering Lead - C12 / AVP - PUNE

Global Controllers Technology is looking for a hands-on senior data engineer who is passionate about solving business problems through innovation and engineering practices. In this role, you will leverage your deep technical knowledge to drive the creation of a scalable and high-quality data intensive platform leveraging some of the latest methodologies such as Data Virtualization and Data Domains. The ideal candidate should have a strong foundation in data engineering principles, understanding of different data pipelines and the ability to optimize and scale data processing and analytics solutions.

Responsibilities

• Design, develop and maintain scalable data pipelines and related solutions.
• Build and manage Database solutions to meet data access and reporting Platforms.
• Evaluate and recommend tools, technologies, and best practices for data engineering.
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Demonstrating deep technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members
• Optimize data architecture for scalability, performance and reliability.
• Monitor, troubleshoot and resolve issues in data pipelines and systems.
• Integrate disparate data sources(files, Databases, APIs) into centralized data access platform.

Qualifications:

• 8 to 12 years of experience in Technology domain
• 5+ years of relevant experience in Technology implementing data intensive solutions using agile methodologies.
• Experience with real time data processing and data virtualization technologies such as Starburst, Snowflake, Flink will be preferred.
• Strong experience with data processing (e.g. Spark, Starburst, Snowflake, RedShift,), storage(e.g. Hadoop, MongoDB, Oracle) and ETL(e.g. Airflow, Ab-Initio, Talend) solutions.
• Experience with data engineering techniques like building data lakes and data warehouses, data mesh, data pipelines, ETL vs. ELT
• Experience with designing and developing distributed systems, handling structured and unstructured data to store, analyze and report.
• Experience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark etc.
• Proficient in PL/SQL and Unix Shell scripts. Strong SQL, PL/SQL development and database tuning experience.
• Experience with Data Quality and data lineage.
• Experience in designing Online Transaction Processing (OLTP), Operational Data Store (ODS) and Data Warehouse applications.
• Consistently demonstrates clear and concise written and verbal communication.
• Proven ability to manage multiple priorities and work effectively under pressure.

Education:

• Bachelor’s degree/University degree or equivalent experience

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