- Design data models, data warehouses, and utilize SQL (e.g., Postgres, Sybase) and NoSQL database management systems (e.g., MongoDB, CosmosDB).
- Implement data processing using traditional and distributed systems such as Hadoop, Spark, Dataflow, and Airflow.
- Utilize one or more object-oriented programming languages (e.g., Java, C++, Python) for data engineering tasks.
- Apply comprehensive understanding of data engineering techniques, including event streaming, real-time analytics, computational grids, and graph processing engines.
- Demonstrate curiosity in learning new technologies and practices, and the ability to make decisions with long-term sustainability in mind.
- Strong communication skills, including the ability to make presentations and perform technical writing.
- Data Models
- Data Warehousing
- SQL (e.g., Postgres, Sybase)
- NoSQL (e.g., MongoDB, CosmosDB)
- Hadoop/Spark
- Java/C++
- Detail-oriented with excellent organizational skills.
- Strong analytical skills and the ability to combine data from different sources.
- Familiarity with PySpark is an advantage.
- Total Experience
- Experience in Power BI –
- Experience in SQL-
- Experience in SSIS-
- Experience in Python -
- Current CTC-
- Expected CTC-
- Notice period-
- Current Location-
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Data Engineer - Pune, India - Synechron
Description
Good day,
We have immediate opportunity for Data Analytics Engineer.
Job Role: Data Analytics Engineer
Job Location: Kharadi, Pune
Experience- 8 Years to 12 Years.
Notice Period: upto 30 days.
About Company:
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron' s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+ and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
Diversity, Equity, and Inclusion
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Job Description:
We are seeking an experienced data engineer to join our team and play a key role in transforming raw data into useful data systems. The ideal candidate will be responsible for creating algorithms, conducting statistical analysis, and ensuring that data systems are aligned with business goals to achieve maximum efficiency.
Responsibilities
Technical Skills Required
Optional Skills
PySpark
Qualifications
If you are an experienced data engineer with the required technical skills, strong analytical capabilities, and a curiosity for learning new technologies, we would like to hear from you.
With below details (Mandatory)
If you had gone through any interviews in Synechron before? If Yes when
Regards,
Premkumar K.