Data Engineering Development Lead/ Architect Power BI

3 days ago


India Techs to Suit Inc Full time ₹ 25,00,000 - ₹ 35,00,000 per year

Poistion - Data Engineering LeadExp - 8 to 12 YearsJob Location: Hyderabad, Ahmedabad, Indore, India. Must Have Team Lead ExperienceMax Salary - 35 Lakhs FixedMust be Able to join in 30 daysJob Summary:As a Data Engineering Lead, your role will involve designing, developing, and implementinginteractive dashboards and reports using data engineering tools.

You will work closely withstakeholders to gather requirements and translate them into effective data visualizations thatprovide valuable insights. Additionally, you will be responsible for extracting, transforming, andloading data from multiple sources into Power BI, ensuring its accuracy and integrity. Yourexpertise in Power BI and data analytics will contribute to informed decision-making andsupport the organization in driving data-centric strategies and initiatives.

We are looking for you As an ideal candidate for the Data Engineering Lead position, you embody the qualities of ateam player with a relentless get-it-done attitude. Your intellectual curiosity and customerfocus drive you to continuously seek new ways to add value to your job accomplishments.

Youthrive under pressure, maintaining a positive attitude and understanding that your career is ajourney. You are willing to make the right choices to support your growth. In addition to yourexcellent communication skills, both written and verbal, you have a proven ability to createvisually compelling designs using tools like Power BI and Tableau that effectivelycommunicate our core values.

You build high-performing, scalable, enterprise-grade applications and teams. Your creativityand proactive nature enable you to think differently, find innovative solutions, deliver high-quality outputs, and ensure customers remain referenceable. With over eight years ofexperience in data engineering, you possess a strong sense of self-motivation and takeownership of your responsibilities.

You prefer to work independently with little to nosupervision. You are process-oriented, adopt a methodical approach, and demonstrate a quality-firstmindset. You have led mid to large-size teams and accounts, consistently using constructivefeedback mechanisms to improve productivity, accountability, and performance within theteam.

Your track record showcases your results-driven approach, as you have consistentlydelivered successful projects with customer case studies published on public platforms. Overall, you possess a unique combination of skills, qualities, and experiences that make youan ideal fit to lead our data engineering team(s). You value inclusivity and want to join a culturethat empowers you to show up as your authentic self.

You know that success hinges on commitment, our differences make us stronger, and thefinish line is always sweeter when the whole team crosses together. In your role, you shouldbe driving the team using data, data, and more data. You will manage multiple teams, overseeagile stories and their statuses, handle escalations and mitigations, plan ahead, identify hiringneeds, collaborate with recruitment teams for hiring, enable sales with pre-sales teams, andwork closely with development managers/leads for solutioning and delivery statuses, as wellas architects for technology research and solutions.

What You Will

Do:

  • Analyze Business Requirements.
  • Analyze the Data Model and do GAP analysis with Business Requirements and PowerBI.

Design and Model Power BI schema.

  • Transformation of Data in Power BI/SQL/ETL Tool.
  • Create DAX Formula, Reports, and Dashboards.

Able to write DAX formulas.

  • Experience writing SQL Queries and stored procedures.
  • Design effective Power BI solutions based on business requirements.
  • Manage a team of Power BI developers and guide their work.
  • Integrate data from various sources into Power BI for analysis.
  • Optimize performance of reports and dashboards for smooth usage.
  • Collaborate with stakeholders to align Power BI projects with goals.
  • Knowledge of Data Warehousing(must), Data Engineering is a plus


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