Analyst – Data Engineer at AstraZeneca

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Snowflake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS, Amazon S3, ETL pipeline, Data integration, Data management, Data transformation, Workflow orchestration, Git, Data profiling

Industry

Pharmaceutical Manufacturing

Description

Job Title: Analyst – Data Engineer Grade : C3 Shift: 2 pm to 11 pm IST Role: Individual contributor role. Location: Manyata Tech Park, Bangalore. Introduction to role: Are you ready to make a difference in the world of data science and advanced analytics? As a Data Engineer within the Commercial Strategic Data Management team, you'll play a pivotal role in transforming data science solutions for the Rare Disease Unit. Your mission will be to craft, develop, and deploy data science solutions that have a real impact on patients' lives. By leveraging cutting-edge tools and technology, you'll enhance delivery performance and data engineering capabilities, creating a seamless platform for the Data Science team and driving business growth. Collaborate closely with the Data Science and Advanced Analytics team, US Commercial leadership, Sales Field Team, and Field Operations to build data science capabilities that meet commercial needs. Are you ready to take on this exciting challenge? Accountabilities: - Collaborate with the Commercial Multi-functional team to find opportunities for using internal and external data to enhance business solutions. - Work closely with business and advanced data science teams on cross-functional projects, delivering complex data science solutions that contribute to the Commercial Organization. - Manage platforms and processes for complex projects using a wide range of data engineering techniques in advanced analytics. - Prioritize business and information needs with management; translate business logic into technical requirements, such as creating queries, stored procedures, and scripts. - Interpret data, process it, analyze results, present findings, and provide ongoing reports. - Develop and implement databases, data collection systems, data analytics, and strategies that optimize data efficiency and quality. - Acquire data from primary or secondary sources and maintain databases/data systems. - Identify and define new process improvement opportunities. - Manage and support data solutions in BAU scenarios, including data profiling, designing data flow, creating business alerts for fields, and query optimization for ML models. Essential Skills/Experience: - BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economics) - 4+ years of work experience with DB skills like Python, SQL, Snowflake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata - Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services - Experience in building ETL pipeline and data integration - Build efficient Data Management (Extract, consolidate and store large datasets with improved data quality and consistency) - Streamlined data transformation: Convert raw data into usable formats at scale, automate tasks, and apply business rules - Good written and verbal skills to communicate complex methods and results to diverse audiences; willing to work in a cross-cultural environment - Analytical mind with problem-solving inclination; proficiency in data manipulation, cleansing, and interpretation - Experience in support and maintenance projects, including ticket handling and process improvement - Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation) - Importance of Scalability and Performance (handling large data volumes with optimized processing capabilities) - Experience with Git Desirable Skills/Experience: - Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS; use these technologies along with statistical tools like Python/R - Experience working with HTTP requests/responses and API REST services - Familiarity with data visualization tools like Tableau, Qlik, Power BI, Excel charts/reports - Working knowledge of Salesforce/Veeva CRM, Data governance, and Data mining algorithms - Hands-on experience with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data) - Good experience in consulting, healthcare, or biopharmaceuticals When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca's Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each other's successes and take pride in giving back to our communities. Here, your career is more than just a path; it's a journey to making a difference where it truly counts. Ready to make a difference? Apply now to join our team! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided 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 accommodation. Date Posted 24-Apr-2026 Closing Date 29-Apr-2026 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify. For over three decades, patients and their caregivers have been at the center of everything we do. Every day, we are inspired to follow the science and think differently to create better outcomes for them and their families. Our mission is driven by understanding who they are as unique individuals, not solely defined by their diseases. We’re a leading rare disease company with a diversified projects. Our pioneering legacy in rare diseases is rooted in being the first to translate the complex biology of the complement system into transformative medicines over the past three decades. Today, we continue to push the boundaries of science and deepen our understanding of rare diseases with patient-centricity at the core. This knowledge allows us to innovate and evolve into new areas where needs are unmet and provide an opportunity to help people fully live their best lives.

Responsibilities

The Data Engineer will develop and deploy data science solutions to support the Rare Disease Unit and enhance commercial data management capabilities. They are responsible for building ETL pipelines, managing data platforms, and collaborating with cross-functional teams to optimize data quality and business insights.