Data Engineer
5 days ago
At Hexaware Technologies, we're seeking a highly skilled Data Engineer to join our team. The ideal candidate will have 4 or more years of experience working directly with enterprise data solutions.
About the RoleThis is an exciting opportunity for a talented professional to work with us in building and maintaining large-scale data processing systems. You will be responsible for designing, implementing, and optimizing complex data pipelines using various technologies such as Columnar databases (Redshift Spectrum), AWS cloud infrastructure services (Redshift, S3, Lambda), and Python.
Key Responsibilities- Design, develop, and deploy scalable data processing systems using big data technologies like Spark, Redshift Spectrum, and Kafka.
- Work closely with cross-functional teams to integrate data engineering solutions into business applications.
- Maintain and improve existing data architectures to ensure optimal performance, scalability, and reliability.
- Collaborate with data scientists and analysts to develop and implement data products that meet business needs.
To succeed in this role, you will need:
- A minimum of 4 years of experience working directly with enterprise data solutions.
- Hands-on experience with public cloud environments and on-premises infrastructure.
- Strong expertise in SQL and Python programming languages.
- Familiarity with modern data processing technologies, including Apache Kafka and Apache Spark.
- Experience with Columnar databases, specifically Redshift, and AWS cloud infrastructure services (S3, Lambda, Glue, Athena).
- Excellent problem-solving skills and attention to detail.
We also welcome candidates with experience in time series data stores (Apache Pinot or Druid) and big data stacks.
What We OfferAs a Data Engineer at Hexaware Technologies, you can expect:
- A competitive salary range of $120,000 - $180,000 per year.
- A comprehensive benefits package, including medical insurance, retirement savings plan, and paid time off.
- The opportunity to work with a diverse team of experts in the field of data engineering.
- Professional development opportunities, including training and certifications.
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