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Data Engineer
1 month ago
About the Role:
Cloudwick Technologies India Pvt Ltd is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data pipelines and data lakes on AWS. You will work closely with our data scientists and analysts to understand data requirements and develop high-quality, compliant data solutions.
Key Responsibilities:
• Design and develop ETL processes and data pipelines with Scala/PySpark, ensuring seamless integration of healthcare data formats such as HL7 and FHIR.
• Collaborate with data scientists, analysts, and healthcare stakeholders to understand data requirements and model Electronic Health Records (EHR) and Electronic Case Report (ECR) for high-quality, compliant data solutions.
• Optimize and tune data pipelines for performance and scalability, ensuring rapid access to critical healthcare information.
• Ensure data quality and integrity through robust testing and validation processes, adhering to healthcare regulations.
• Implement data governance and security best practices to protect sensitive patient information.
• Monitor and troubleshoot data pipelines to ensure continuous data flow, promptly addressing any issues to maintain operational efficiency.
Requirements:
• B.E/B.Tech, preferably in Computer Science or Engineering.
• 5+ years of experience in handling data and designing ETL pipelines, with mandatory 4+ years of experience writing PySpark code, specifically in healthcare applications.
• Proven experience working on AWS using services like S3, Glue, Redshift, Lambda, IAM, and DynamoDB, focusing on healthcare data management.
• Demonstrated experience in capturing data requirements from product owners and business users within the healthcare domain, particularly around EHR and ECR systems.
• Good to have exposure to data modeling, data analytics, and design in both batch processing and real-time streaming, especially for healthcare applications.
• Solid understanding of data mapping, data processing patterns, distributed computing, and building applications for real-time and batch analytics in a healthcare context, including HL7 and FHIR standards.
• Strong programming skills in design and implementation using Python and PySpark.
• Good exposure to database architecture with Redshift, specifically for healthcare datasets.
• Experience with multiple file formats such as Avro, Parquet, ORC, and JSON, particularly in the context of healthcare data analytics.
• Developing, constructing, testing, and maintaining architectures for data lakes, data pipelines, data warehouses, and large-scale data processing systems on AWS, focusing on healthcare applications.
• Extensive experience using Spark, Scala, PySpark, Python, and SQL to handle complex healthcare data transformations.
• Hands-on experience in using AWS services like S3, Glue, Lambda, Redshift, and IAM for healthcare solutions.
• Experience with client interactions in the healthcare domain, ensuring the delivery of data solutions that meet regulatory standards.
• Proficient in writing complex SQL queries for healthcare data analysis.
• Preferred experience in the healthcare domain, with knowledge of EHR, ECR, and familiarity with HL7 and FHIR standards.
• AWS certifications relevant to data engineering and healthcare solutions are a plus.
What We Offer:
• Competitive salaries and bonuses.
• Flexible working hours.
• Health insurance.
• Life and disability insurance.
• Eligibility for the provident fund.
• Unlimited Paid Time Off (PTO) with a mandatory minimum of 1 week/year. Paid vacation days, sick leaves, and holidays.
• Parental leave (maternity, paternity, adoption leave).
• Bereavement leave.
• Certification and training programs.
• Company-sponsored events and outings.
• Recognition and reward programs.
• Provision of laptops, mobile devices, and other necessary equipment. Access to software and tools for remote work.
• Team-building activities and retreats.
Our House Values:
• One Team: Prioritize the company, your team, and yourself – in that order. Support your co-workers with empathy and give more than you take to build the ideal Cloudwick community.
• Tough & Persevering: We operate in a large, fast-growing, and competitive space. Embrace challenges with positivity, focus on moving forward, and develop a champion's mindset to overcome obstacles. Always day one.
• Keep Making It Better Always: Continuous improvement is key. Being organized, communicating promptly, taking small tasks seriously, tracking ideas, and paying them forward can make a significant impact over time.
• Think Big, Act Fast: Innovation is boundless, but impact is essential. Strategize bold ideas, set them in motion rapidly, measure, refine, and repeat. Excellent execution sets apart promising companies from proven unicorns.
Work Location: Bangalore
Work Mode: Office
