Data Engineer
4 weeks ago
Data Engineer
Location:Pune
Experience:3 to 6 Years
Job Type:Full-time
Roles & Responsibilities:Design and develop scalable data pipelines using Data bricks.
Implement ETL processes to transform and aggregate data from various sources.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Optimize and troubleshoot data pipelines to ensure high performance and reliability.
Monitor data workflows and ensure data quality and integrity.
Utilize Spark and other big data technologies to process large datasets efficiently.
Document and maintain technical specifications and system designs.
Stay updated with the latest trends and advancements in data engineering and Data bricks technologies.
Requirements:Bachelor's degree in Computer Science, Engineering, or a related field.
3 to 6 years of experience as a Data Engineer, with a focus on Data bricks and big data technologies.
Proficiency in Data bricks and Apache Spark for data processing.
Experience with SQL and data modeling techniques.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Knowledge of Python, Scala, or Java for scripting and data manipulation.
Preferred Skills:Experience with data warehousing solutions (e.g., Snowflake, Redshift).
Understanding of data lake architectures and management.
Knowledge of additional data processing tools and frameworks.
What We Offer:Challenging Work: Engage with international clients and work on cutting-edge technologies.
Growth & Development: Opportunities for continuous learning and professional advancement.
Collaborative Culture: Be part of a dynamic, supportive team that values innovation and collaboration.
Global Opportunities: Work on projects with global reach and impact.
Benefits:Competitive salary based on experience and expertise.
Flexible work schedules to support work-life balance.
Health insurance and other standard benefits.
Performance-based bonuses and rewards.
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