ETL/Data Management Lead

4 weeks ago


Mumbai, Maharashtra, India Acies Consulting LLp Full time

Job Description :


Acies is a highly client focused and collaborative organization. Every person is assigned a counselor who is responsible for mentoring and providing career guidance. The counsellor is also the primary reporting and engagement point. Every person is assigned to a Business Leader and Geography Leader.


Business and Geography Leaders guide the person on business strategy and provide opportunities to work on diverse projects. While people are assigned to a specific business line and geography, they are expected to work across business lines and geographies. People are expected to collaborate with a wide range of client and Acies personnel across levels and work as part of outcome-oriented teams.

Nature of role : Full time

Number of years of experience expected : 5 to 8 years.

Areas of past experience preferred : ETL documentation / Data mapping / ETL development / Python / Risk data / Finance data

Educational qualification required : BTech / Product courses / MBA/ Data science courses.

Additional certifications preferred :


- Results-oriented with a track record of successfully delivering complex data projects.

- Preferred geography of previous work experience : India / Europe / APAC / US

- Language requirements : Ability to write and speak fluently in English.

- Technology proficiency preferred : MSSQL, PostgreSQL, Python, Informatica, SSIS, cloud proficiency.

Detailed expectations from role :

Acies Technology Implementation practice is seeking a lead Data management and ETL expert for handling data mapping, transformation, ETL processes and client communication across all of Acies Product implementations.


The ideal candidate will be responsible for designing, developing, and implementing efficient ETL processes, ensuring data integrity, and leading a team of ETL developers and data mapping leads. The role requires a deep understanding of data warehousing, ETL tools, and best practices in data integration across risk and finance domain. If you are passionate about technology and thrive in a dynamic, collaborative environment, we invite you to apply and contribute to our innovative projects.

Key responsibility areas :

- Lead the end-to-end ETL architecting, development process, from requirements gathering to implementation and maintenance.

- Undertake data structure mapping between the Product and customer datasets and identify scenario of any gaps.

- Ability to process scenarios during discussions related to data quality and validation logics associated with the client datasets

- Design and implement scalable and robust ETL solutions to meet business objectives.

- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.

- Manage and mentor a team of ETL developers, providing technical guidance and support.

- Perform data profiling, validation, and quality checks to ensure data accuracy.

- Optimize ETL processes for performance and efficiency.

- Collaborate with stakeholders to define data integration strategies and requirements

- Collaborate with cross-functional teams to define project scope, goals, and deliverables.

- Develop comprehensive project plans, including timelines, resource allocation, and budgets.

- Ensure effective communication with stakeholders to manage expectations and project progress.

- Identify and mitigate project risks, troubleshooting issues to ensure project success.

Selection process :

We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows :

- Interview : There are expected to be at least 3 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved.

- Final discussion on career and compensation : Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion.

(ref:hirist.tech)

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