Applicantz | Senior Data Engineer | delhi

2 weeks ago

delhi, India Applicantz Full time
THIS IS A CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER.
Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and Flexible work environment. They use cutting edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.
Responsibilities:
Deploy and configure Apache Spark clusters on AWS (particularly EKS), optimizing for performance, resource allocation, and scalability.
Develop, automate, and support robust and reliable Spark data pipelines, focusing on high performance and low latency.
Design and implement highly optimized queries to improve data processing efficiency, streamline analysis, minimize latency, and enhance overall system performance.
Collaborate to make the Data Platform an effective, scalable, and resilient system.
Gather requirements from stakeholders, prioritize work, and document technical solutions clearly and effectively.
Engage with data engineers, data scientists, product managers, and internal stakeholders to align project goals and implementations.
Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation​
Minimum Qualifications:
5+ years of data processing experience in large cloud-based infrastructure (AWS is must)
Hands-on software development experience in Python, with strong proficiency in Py Spark for data engineering tasks and data pipeline development
Expert understanding of SQL, dimensional modeling, and analytical data warehouses, such as Snowflake
Understanding of Data Engineering best practices for medium to large scale production workloads
Expertise with data pipeline orchestration tools, such as Airflow
Familiar with processing semi-structured file formats such as json or parquet
Team player with good communication skills
Problem solver with excellent written and interpersonal skills
Strong problem-solving skills
Ability to learn new technical skills
Bachelor’s degree in Computer Science, Data Science, or related fields
Preferred Qualifications:
Experience with Jinja, Shell scripting, DBT
Developing in Cloud platform using serverless technologies such as glue, lambda, EMR is a plus.
Experience with remote development using AWS SDK is a plus
Experience with ELT pipelines - DBT
REST API design and implementation
Familiarity with containers and infrastructure-as-code principles
Experience with automation frameworks - Git, Jenkins, and Terraform

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