Data Engineer

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About this opportunity:

Are you a talented IT professional passionate about data and eager to drive the future of Analytics? Ericsson is looking for an IT Data Engineer to design, build, test, and maintain our data and analytics solutions. As part of this role, you will work on various technologies and platforms to ensure data is readily available and accessible to all relevant departments. You will oversee the actualization of these solutions by confirming our data is extracted, managed, and made available according to Ericsson's high standards and architectural designs.

What you will do:

Design, build, and maintain scalable and efficient data architectures to support current and future business needs.
Ensure data modelling practices align with best practices for maintainability, scalability, and performance.
Solve business problems by applying advanced data engineering and complex data transformation techniques on large volumes of data.
Stay abreast of the latest technologies and tools in data engineering (e.g., cloud platforms, databases, ETL tools) and lead the evaluation and integration of new solutions.
Identify opportunities to implement emerging technologies (e.g., machine learning, AI-driven data management) to enhance data capabilities.
Develop, optimize, and manage batch and real-time data ingestion pipelines.
Work closely with software engineers and data scientists to ensure seamless integration of data pipelines into the larger system architecture.
Automate data validation and monitoring processes to ensure data quality and integrity.
Foster a collaborative environment focused on continuous learning, growth, and innovation.
Manage the day-to-day operations of the team, setting priorities and ensuring timely delivery of data-related projects.

The skills you bring:

Strong knowledge of database and data warehousing technologies (e.g., SQL, NoSQL, etc)
Strong experience in data engineering or a related field, with a strong focus on designing, developing, and managing large-scale data pipelines and architectures.
Proficiency in building ETL/ELT pipelines using python / spark (pyspark).
Advanced skills in programming languages such as Python, SQL.
Expertise in designing and optimizing data models and complex SQL queries for high-volume systems.
Strong problem-solving abilities, with a focus on diagnosing and resolving complex data engineering challenges.
Relevant certifications in data engineering, cloud platforms (e.g., AWS, GCP, Azure), or big data technologies (e.g., Hadoop, Spark) are a plus.
Experience in HANA, Snowflake and other database system.

Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city:India (IN) || Kolkata
Req ID:766494