Data Scientist
4 days ago
Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.
We provide access to innovative solutions that improve the way we work, live, and interact. Our mission is to empower individuals to unlock their full potential through personalized career development and placement services.
Job Overview:
We are seeking an experienced Data Scientist - Big Data Engineer to join our team at Lifelancer. As a key member of our data engineering group, you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions.
This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes.
Responsibilities:
* Design, develop, and maintain data solutions for data generation, collection, and processing
* Be a key team member that assists in design and development of the data pipeline
* Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
* Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
* Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
* Implement data security and privacy measures to protect sensitive data
* Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
* Collaborate and communicate effectively with product teams
* Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions
* Identify and resolve complex data-related challenges
* Adhere to best practices for coding, testing, and designing reusable code/component
* Explore new tools and technologies that will help to improve ETL platform performance
Requirements:
We expect you to have a Master's degree and 1-3 years of Computer Science, IT or related field experience OR Bachelor's degree and 3-5 years of Computer Science, IT or related field experience OR Diploma and 7-9 years of Computer Science, IT or related field experience.
You should have hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), Snowflake, workflow orchestration, performance tuning on big data processing. Proficiency in data analysis tools (e.g. SQL). Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores. Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development.
Strong understanding of data modeling, data warehousing, and data integration concepts. Proven ability to optimize query performance on big data platforms.
Preferred Qualifications:
Experience with software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing. Knowledge of Python/R, Databricks, SageMaker, cloud data platforms. Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA).
Professional Certifications:
AWS Certified Data Engineer preferred. Databricks Certificate preferred.
Soft Skills:
Excellent critical-thinking and problem-solving skills. Strong communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills.
EQUAL OPPORTUNITY STATEMENT
Lifelancer is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
The estimated salary for this position is $120,000-$180,000 per year, based on location in Hyderabad, Telangana, India.
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