Welcome to Sasken Technologies Limited! As of 2024, we’re seeking dynamic individuals for the role of Engineer – Data Analytics. Join our team to apply your technical expertise in designing, coding, and testing, contributing to product engineering and digital transformation. With a focus on data engineering, cloud platforms, and cutting-edge tools, you’ll play a crucial role in achieving on-time delivery and adhering to quality standards. Elevate your career with Sasken, a specialist in R&D services for global Electronics, Enterprise Devices, SatCom, and Transportation industries.
About Sasken Technologies
Sasken Technologies Limited is a leading global provider of product engineering and digital transformation services. Specializing in concept-to-market solutions, Sasken offers chip-to-cognition research and development services to diverse industries, including Electronics, Enterprise Devices, SatCom, and Transportation. With a rich history of innovation, Sasken enables clients to navigate the complexities of technological advancements. Leveraging expertise in data engineering, cloud platforms, and advanced tools, Sasken is at the forefront of creating cutting-edge solutions. As a trusted partner, Sasken continues to drive excellence in research and development, delivering impactful and transformative outcomes for businesses worldwide.
Job Highlights
Job Role: Engineer-Data Analytics
Degree: Engineering graduate, MCA, etc.
Location: India (IN)
Experience: Freshers (0-2 Years)
Key Responsibilities:
- Design, code, and test data solutions in the assigned area.
- Identify and address issues in existing systems, following defined work procedures.
- Ensure on-time delivery while maintaining quality and productivity goals.
- Adhere to guidelines and checklists for deliverable reviews.
- Provide technical support and documentation.
- Enhance technical capabilities through training and self-study.
- Utilize cloud platforms (AWS, Azure, GCP) for implementing data workflows.
- Work with tools like MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, etc.
- Specialize in Data Warehousing (DWH), Big Data Engineering, and Edge Analytics.
Qualifications and Skills
Qualification: Engineering graduate or MCA
Skills:
- Data engineering skills, including creating databases and storage for relational and non-relational data sources.
- Proficiency in developing data pipelines (ETL/ELT) for cleaning, transforming, and merging data.
- Experience in creating a reporting layer with pre-packaged scheduled reports, dashboards, and charts for self-service BI.
- Knowledge of cloud platforms such as AWS, Azure, GCP for implementing data workflows.
- Familiarity with tools like MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview.
- Programming skills in Python, R, Spark, Scala, and SQL.
- Specialization in Data Warehousing (DWH), Big Data Engineering, and Edge Analytics.
How to Apply
Applying for this opportunity is a straightforward process:
1. Prepare Your Resume: Tailor your resume to highlight your relevant skills, coursework, or experiences.
2. Craft a Cover Letter: Write a compelling cover letter that showcases your enthusiasm for joining Sasken Technologies and outlines how your skills and experiences align with the role.
3. Submit Your Application: Visit the Sasken Technologies career portal and submit your resume and cover letter online. Be sure to check for specific application deadlines.
Conclusion
Join Sasken Technologies in 2024 as an Engineer – Data Analytics, contributing to cutting-edge solutions in product engineering and digital transformation. With a focus on data engineering, cloud platforms, and advanced tools, you’ll be part of a dynamic team delivering excellence. As a global leader in R&D services for Electronics, Enterprise Devices, SatCom, and Transportation, Sasken offers a platform for innovation and growth. Elevate your career with us, where your skills meet unparalleled opportunities in a forward-thinking and collaborative environment. Join Sasken for a rewarding journey at the forefront of technological advancements.