Norstella | Data Engineer-Support | india
4 days ago
Data Engineer- Support
Company Description
Why Norstella? Norstella unites market-leading companies with a shared goal of improving patient access. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making.
Together, we help our clients:
Assess the market need and competitive landscape
Know precisely which drugs to prioritize in their portfolios
Find out where the launch difficulties will be—before they’re difficulties
Track and improve market access post-launch
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions, and expert advisory services alongside advanced technologies such as real-world data, machine learning, and predictive analytics. At Norstella, we don’t just deliver information and insights. We deliver answers you can act on.
Job Summary
We are seeking a skilled Data Engineer to manage and support data engineer role. This role focuses on configuring, executing, and monitoring ETL pipelines, performing data analytics, and managing AWS-based infrastructure. The ideal candidate will have a solid understanding of ETL tools, scripting languages, and AWS CLI, with a strong focus on troubleshooting and optimizing data workflows.
Key Responsibilities
- Monitor and maintain Java Spark and Ruby-based ETL pipelines.
- Configure and execute ETL processes in a production environment.
- Perform basic automation tasks using Bash and Ruby scripting.
- Conduct AWS infrastructure management via AWS CLI.
- Support SQL-based data analytics tasks, leveraging tools like Athena.
- Assist with basic data engineering and data engineer tasks at scale.
Skillset
Mandatory:
- Bachelor’s degree in Computer Science, IT, or related fields.
- 5+ years of experience in ETL processes and data engineer.
- Proficiency in Ruby, Java Spark, and Bash scripting.
- Working knowledge of AWS CLI and Athena.
- Basic understanding of data engineering principles.
- Strong analytical and problem-solving skills.
Preferred:
- Exposure to DevOps tools and practices.
- Familiarity with data orchestration tools (e.g., Airflow, Prefect).
- Understanding of big data frameworks like Spark or Hadoop.
The guiding principles for success at Norstella:
01: Bold, Passionate, Mission-First
We have a lofty mission to Smooth Access to Lifesaving Therapies, and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission we are trying to accomplish must be at the forefront of our minds in everything we do.
02: Integrity, Truth, Reality
We make promises that we can keep and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn’t. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace
We will empathize with everyone’s situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance
We will persevere – even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
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