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Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python)
Synechron New York, NY
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$137k-169k (estimate)
Full Time 1 Week Ago
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Synechron is Hiring a Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python) Near New York, NY

We are

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 honored 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.

Job Title: Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python)

Location: NYC

Job Type: Full-time

Experience: 9 Years

Job Descriptions:

Must have hands-on:

MS SQL, T-SQL, SSIS, Snowflake, Python

Primary Responsibilities:

Strong understanding on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.

Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.

Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.

Need to have working knowledge of MS Azure configuration items with respect to Snowflake.

Developing EL pipelines in and out of data warehouse using combination of Data bricks, Python and Snow SQL.

Developing scripts UNIX, Python etc. to Extract, Load and Transform data, and T-SQL as well as other utility functions.

Provide production support for Data Warehouse issues such data load problems, transformation translation problems

Translate mapping specifications to data transformation design and development strategies and code, incorporating standards and best practices for optimal execution.

Understanding data pipelines and modern ways of automating data pipeline using cloud based testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.

Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Basic Qualifications:

Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.

Including hands on experience with productionized data ingestion and processing pipelines using Python, Data bricks, Snow SQL

Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies

Excellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements.

Good to Have:

  • Experience in Finance / Banking industry – some understanding of Securities and Banking products

We can offer you:

  • A highly competitive compensation and benefits package
  • A multinational organization with 52 offices in 20 countries and the possibility to work abroad
  • Laptop and a mobile phone
  • 10 days of paid annual leave (plus sick leave and national holidays)
  • Maternity & Paternity leave plans
  • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
  • Retirement savings plans
  • A higher education certification policy
  • Commuter benefits (varies by region)
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms
  • A flat and approachable organization
  • A truly diverse, fun-loving and global work culture

SYNE CHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity and inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is 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 Summary

JOB TYPE

Full Time

SALARY

$137k-169k (estimate)

POST DATE

05/04/2024

EXPIRATION DATE

05/20/2024

WEBSITE

synechron.com

HEADQUARTERS

NEW YORK, NY

SIZE

7,500 - 15,000

FOUNDED

2001

TYPE

Private

CEO

KEITH MAITLAD

REVENUE

$500M - $1B

INDUSTRY

IT Outsourcing & Consulting

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Synechron is a provider of digital, business consulting and technology services for organizations.

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The following is the career advancement route for Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python) positions, which can be used as a reference in future career path planning. As a Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python), it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python). You can explore the career advancement for a Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python) below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

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Create architecture for real-time, big data applications with minimal maintenance effort.

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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

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Provides successful deployment and provisioning of data solutions to production or other required environments.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

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Earn a bachelor’s degree related to data engineering and begin working on projects.

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Consider pursuing additional professional engineering or big data certifications.

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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

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