4 - 9 years

3 - 7 Lacs

Hyderabad

Work from Office

Data Engineer Summary Apply Now Full-Time 4+ years Responsibilities Design, develop, and maintain data pipelines and ETL processes. Build and optimize data architectures for analytics and reporting. Collaborate with data scientists and analysts to support data-driven initiatives. Implement data security and governance best practices. Monitor and troubleshoot data infrastructure and ensure high availability. Qualifications Design, develop, and maintain data pipelines and ETL processes. Build and optimize data architectures for analytics and reporting. Collaborate with data scientists and analysts to support data-driven initiatives. Implement data security and governance best practices. Monitor and troubleshoot data infrastructure and ensure high availability. Skills Proficiency in data engineering tools (Hadoop, Spark, Kafka, etc.). Strong SQL and programming skills (Python, Java, etc.). Experience with cloud platforms (AWS, Azure, GCP). Knowledge of data modeling, warehousing, and ETL processes. Strong problem-solving and analytical abilities.

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Big Data Developer SP Staffing

4 - 8 years

12 - 22 Lacs

Hyderabad, Chennai, Bengaluru

Hybrid

Warm Greetings from SP Staffing!! Role: Big Data Developer Experience Required :4 to 8 yrs Work Location : Bangalore/Chennai/Pune/Delhi/Hyderabad/Kochi Required Skills, Spark and Scala Interested candidates can send resumes to nandhini.s@spstaffing.in

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Data Engineer-Data Platforms IBM

2 - 5 years

14 - 17 Lacs

Bengaluru

Work from Office

As a BigData Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Big Data Developer, Hadoop, Hive, Spark, PySpark, Strong SQL. Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure, etc). Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience Basic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

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