Lead Data Engineer

Role - Lead Data Engineer

Location - Noida, Hyderabad

Type- - Permanent

Duties and Responsibilities:

Strategy & Leadership

• Act as a

  liaison between business teams and technical teams

  , ensuring accurate translation of business needs into scalable technical solutions.
• Design and develop

  data pipelines

  to extract, transform, and load (ETL) HR and workforce-related data efficiently.
• Develop and execute a

  comprehensive people analytics strategy

  aligned with business objectives.
• Partner with HR, business leaders, and executive teams to

  drive data-driven talent strategies

  .
• Lead a team of analysts and data professionals to deliver high-impact workforce insights.

Data Analysis & Insights

• Design and implement

  HR analytics dashboards

  , reports, and predictive models to improve decision-making.
• Analyze

  workforce trends, employee engagement, turnover, productivity, and talent acquisition metrics

  .
• Utilize advanced analytics techniques, such as

  machine learning and predictive modelling

  , to forecast workforce needs.

Technology & Data Governance

• Ensure

  data integrity, security, and compliance

  with privacy regulations (e.g., GDPR, CCPA).
• Partner with IT and HRIS teams to enhance

  HR data systems, automation, and reporting capabilities

  .
• Implement best practices in

  data visualization, storytelling, and reporting

  .

Collaboration & Influence

• Work closely with HR leaders to optimize

  diversity, equity & inclusion (DEI), performance management, and workforce planning

  .
• Act as a trusted advisor to senior executives, translating complex data into actionable insights.
• Advocate for a

  data-driven culture

  within the HR function and the broader organization.

Education and Experience:

• 10+ years of experience

  in HR analytics, workforce planning, or related fields.
• Proven leadership experience in

  building and managing analytics teams

  .
• Strong expertise in

  HR metrics, statistical analysis, and predictive modelling

  .

Technical Skills

• Understanding of

  AI and machine learning applications in HR analytics

  .

• Programming:

  Proficiency in

  Python, SQL, or R

  for data analysis and automation.

• Data Engineering:

  Experience with

  ETL pipelines, APIs, and cloud data platforms (AWS, Azure, GCP)

  .

• Big Data & Analytics

  : Expertise in

  Databricks, Spark (PySpark), TensorFlow

  (preferred).

• Database Management:

  Strong knowledge of

  SQL, relational databases (PostgreSQL, MySQL, Redshift, Snowflake, etc.)

  .

• Visualization:

  Expertise in

  Power BI, Tableau, or Looker

  for building HR dashboards.

• HRIS & ERP Systems:

  Experience working with

  Workday, SAP, Oracle HR, or similar

  .

• Big Data & Machine Learning (Preferred):

  Exposure to

  PySpark, TensorFlow, or predictive analytics

  is a plus.