Data Engineer Job in Pune at Ansira

Ansira is hiring for the role of Data Engineer!

Responsibilities of the Candidates:

• Planning and supporting the design and implementation of data-centric infrastructure to support the analytics environment
• Maintaining an in-depth knowledge of the organization’s data solutions and leveraging that knowledge to continuously evolve data structure for analytics at the organization
• Architect data structures for reports and dashboards supporting internal teams and overall self-service infrastructure
• Assisting the teams, product owners, and organization with implementing data modeling best practices
• Participating in team collaboration through idea-sharing and brainstorming sessions
• Provide direction on data migration, data lineage, master data management, and overall data strategy
• Coordinating with other departments within the organization to effectively understand where additional data resources can be curated to enhance the overall analytics strategy
• Assisting the leadership team to set direction and identify solutions addressing opportunities and challenges
• Providing ongoing feedback and assessment of project status and issues to the director
• Demonstrating a hands-on, high-energy work ethic and championing a team player attitude
• Continually evaluate data analytics industry trends and new technologies
• Prioritizing, coordinating, and managing varying priorities in a fast-paced environment

Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• 3+ years of experience in a data engineering role or equivalent
• Proficiency with programming languages such as Python, SQL, or Scala
• Experience with big data tools such as Hadoop, Spark, or Kafka
• Expertise in designing and optimizing ETL processes
• Strong knowledge of data modeling, data warehousing, and working with relational databases (e.g., PostgreSQL, MySQL, Oracle)
• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Familiarity with APIs, data lakes, and large-scale data architectures
• Ability to collaborate in cross-functional teams and communicate technical concepts effectively
• Strong problem-solving skills with attention to detail and ability to handle large datasets