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60 Systems Plus Jobs
Manager Data Engineering
Systems Plus
posted 3 weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Technical Manager, Data Engineering
As a Data Engineering Sr. Manager, you will execute on new Data Engineering products and features in collaboration with Data Science, and Business teams.
Scope:
This role focuses on managing, supporting delivery and strategic initiatives such as data ingestion, integration, transformation, reporting and analytics. Broadly, it will work with every functional area of data engineering, data reporting, data science teams & multiple Business partners.
Essential Job Functions :
The incumbent must be able to perform all of the following duties and responsibilities
w ith or without a reasonable accommodation.
Lead the data strategy, and own the vision and roadmap of data products to enable decision making and self-service for business and analytics teams
Solid experience in emerging and traditional data stack components such as: batch and real time data ingestion, ETL, ELT, orchestration tools, on-prem and cloud DW, Python, structured, semi and unstructured databases.
Collaborate closely with Data Engineering and Product team to execute on the set roadmap of data ingestion, integration, reporting and data transformation.
Work cross-functionally with enterprise-wide stakeholders including (but not limited to) Analytics, Data Science, FP&A, Accounting, merchandising, pricing teams.
Build a continuous monitoring process and tools to track the data management, data quality, and execute cleaning activities.
Track the overall data transformation initiative and provide feedback or suggestions from a risk management perspective.
Design, provide training and mentor/coach other team members.
Work with stakeholders to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning.
Ensure the safe storage and transmission of data in line with privacy and compliance laws, data regulations, and internal company policies.
This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills.
Supervisory Responsibility
Position will manage a team comprising of Data, Integration, QA engineers and Scrum Master.
Education and Experience
Bachelor s or Advanced degree in Information Systems, Information Management,
Engineering, or related field
10+ years of experience in data management, data warehousing and handling data engineering
5+ years of experience in Manager/Lead role managing set of engineers including hiring and performance evaluations.
3+ years managing big data technology stack and restful APIs.
Strong knowledge of designing data pipelines and understanding details around orchestration, integration, data transformations.
Excellent communication skills, both verbal and written, and the ability to build trust-based relationships with business partners
Technical knowledge in BI tools such as MicroStrategy, Looker.
Proven record of handling, managing, collaborating and delivering data products on time and meeting quality standards.
Competencies
Demonstrate Adaptability and Desire to Learn -- Works productively in the face of ambiguity or uncertainty. Demonstrates flexibility and resilience in response to obstacles, constraints, adversity, and mistakes. Constructively and resourcefully adapts to changing needs, conditions, priorities or opportunities. Seeks out opportunities to learn from new discoveries, innovations, ways of looking at things, knowledge, and ideas. Invites and incorporates feedback, without becoming defensive.
Perform Analysis -- Integrates information from a variety of sources to arrive at a broader understanding of issues (e.g., company reports plus in-store observations). Defines issues clearly despite incomplete or ambiguous information. Identifies the key issues in complex or ambiguous problems. Approaches problems or issues systematically, looking for connections, trends, and potential causes. Probes and looks past symptoms to determine the underlying causes of problems and issues.
Plan and Execute -- Develops realistic plans (e.g., action steps, timelines) to accomplish objectives. Acquires and leverages resources, processes, and tools to achieve business goals. Prioritizes and balances time, actions, and projects to ensure accomplishment of results. Holds him/herself and team accountable for outcomes (e.g., achieving goals and complying with policies and procedures). Anticipates and addresses obstacles, redirecting efforts to accelerate the work or improve quality.
Produce Results -- Initiates decisive, timely action to address important issues. Demonstrates a strong sense of ownership and a commitment to achieving meaningful results. Sets challenging, clear goals/targets and expectations for achieving business results. Drives initiatives/efforts to successful completion and closure. Takes personal responsibility to make decisions and take action.
Good Partner -- Identifies and anticipates customer requirements, expectations, and needs. Seeks feedback from customers to identify improvement opportunities. Follows up with customers to ensure problems are solved. Continually searches for ways to improve customer service (including the removal of barriers, and providing solutions).
Use Professional Judgment -- Makes logical, rational, and integrative decisions, and arrives at sound conclusions. Chooses the best alternative(s) based on a review of pros, cons, tradeoffs, timing, and probabilities. Evaluates the consequences and implications of alternatives, actions, or decisions (e.g., impact on sales, returns, customer loyalty). Makes timely decisions, balancing analysis with decisiveness.
Work Environment
Most tasks are performed while seated indoors at a personal computer. Limited travel to vendors, seminars and/or conferences may be required periodically throughout the year.
Employment Type: Full Time, Permanent
Read full job description
What people at Systems Plus are saying
Rating based on 4 Data Engineer
reviews
Anonymous · Data Science & Analytics
in Pune
Likes
Work satisfaction
- Skill development - Good
+2 more
Dislikes
No proper structure for handling resources and not agile
Data Engineer salary at Systems Plus
reported by
9
employees
with 3-7
years exp.
₹10
L/yr - ₹22
L/yr
24%
more
than the average Data Engineer Salary in India
View more details
What Systems Plus employees are saying about work life
based on 357 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Systems Plus Benefits
View more benefits
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