StatusNeo Technology

10 hours ago

GurgaonGurugram, India Status Neo Full time

About Company :

The world is witnessing an unprecedented adoption and migration to cloud while still a large portion of this migration focusses on porting software rather than building solutions that can leverage cloud native wherever feasible. There is a big difference in both these paradigms including the way we build software, our speed of solution delivery, processing power and regulatory compliances.

StatusNeo is an agile software development and consulting firm with expertise in D3 (Digital Full Stack, DevOps, Data engineering & AI). We partner with global businesses to build, operate, and manage their IT stance end to end. From a capability perspective, being a specialist in cloud native does not dilute any value and depth of software development expertise needed for a consultant to qualify as StatusNeo. Instead, knowledge and experience of Cloud Native platforms now becomes an additional prerequisite.

Senior digital leadership (alma mater) of the Big 3 in management consulting in New York is on the board of StatusNeo.

StatusNeo is currently operational in the United States, India and UAE with Guadalajara(the Silicon Valley of Mexico) as the next frontier for a Delivery Centre to serve clients in the US.

We are a global software consulting firm that partners with the world's leading businesses and manages their technology stance.

Role Overview :

We are looking for a Senior/Lead Data Engineer to join our team. The ideal candidate will have hands-on experience with Pyspark, Python, SQL, and ETL processes. In addition, the candidate should have expertise in working with various AWS services such as Glue, Athena, EMR, Redshift, Lambda, and Step Functions.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using Pyspark, Python, and SQL.

- Implement ETL processes to ingest, transform, and load data from various sources into our data lake and data warehouse.

- Optimize and tune data pipelines for performance and reliability.

- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.

- Implement and maintain data security and access controls.

- Provide technical leadership and mentorship to junior team members.

- Stay up-to-date with the latest technologies and best practices in data engineering.

Required Skills and Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 5+ years of experience in data engineering roles.

- Hands-on experience with Pyspark, Python, SQL, and ETL processes.

- Strong experience with AWS services such as Glue, Athena, EMR, Redshift, Lambda, and Step Functions.

- Experience with data warehousing concepts and technologies.

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills.

- Experience with Agile development methodologies is a plus.

Preferred Qualifications :

- AWS Certified Big Data - Specialty certification.

- Experience with containerization technologies such as Docker and Kubernetes.

- Experience with stream processing technologies such as Kafka or Kinesis

(ref:hirist.tech)

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