Senior Data Engineer
Company: Synechron Inc.
Location: New York
Posted on: April 28, 2024
Job Description:
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. Our challenge This position is for a Cloud Data engineer
with a background in Python, Pyspark, SQL and data warehousing for
enterprise level systems. The position calls for someone that is
comfortable working with business users along with business analyst
expertise. Additional Information - New York Only* The base salary
for this position will vary based on geography and other factors.
In accordance with New York law, the base salary for this role if
filled within New York is $130k - $145k/year & benefits (see
below). The Role Responsibilities :
- Build and optimize data pipelines for efficient data ingestion,
transformation and loading from various sources while ensuring data
quality and integrity.
- Design, develop, and deploy Spark program in databricks
environment to process and analyze large volumes of data.
- Experience of Delta Lake, DWH, Data Integration, Cloud, Design
and Data Modelling.
- Proficient in developing programs in Python and SQL
- Experience with Data warehouse Dimensional data modeling.
- Working with event based/streaming technologies to ingest and
process data.
- Working with structured, semi structured and unstructured
data.
- Optimize Databricks jobs for performance and scalability to
handle big data workloads.
- Monitor and troubleshoot Databricks jobs, identify and resolve
issues or bottlenecks.
- Implement best practices for data management, security, and
governance within the Databricks environment. Experience designing
and developing Enterprise Data Warehouse solutions.
- Proficient writing SQL queries and programming including stored
procedures and reverse engineering existing process.
- Perform code reviews to ensure fit to requirements, optimal
execution patterns and adherence to established standards.
Requirements: You are:
- Minimum 9+ years of experience is required.
- 5+ years Python coding experience.
- 5+ years - SQL Server based development of large datasets
- 5+ years with Experience with developing and deploying ETL
pipelines using Databricks Pyspark.
- Experience in any cloud data warehouse like Synapse, Big Query,
Redshift, Snowflake.
- Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts,
and Data modeling.
- Previous experience leading an enterprise-wide Cloud Data
Platform migration with strong architectural and design
skills.
- Experience with Cloud based data architectures, messaging, and
analytics.
- Cloud certification(s).
- Minimally a BA degree within an engineering and/or computer
science discipline
- Master's degree strongly preferred. It would be great if you
also had:
- Any experience with Airflow is a Plus. 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 S-
YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & 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 . Candidate Application Notice
Keywords: Synechron Inc., Hoboken , Senior Data Engineer, Engineering , New York, New Jersey
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