Junior Extract-Transform-Load

We are looking for an experienced Data Engineer with expertise in Databricks to join our dynamic team. The ideal candidate will have a strong background in building and optimizing big data pipelines developing scalable data solutions and working with advanced analytics platforms. This role requires a problem-solver who is comfortable working with large datasets and passionate about transforming data into actionable insights.

Established in 1994 Birla Sunlife Asset Management Company (ABSLAMC) is a joint venture between Aditya Birla Group and Sunlife Financial Inc. a leading international financial services company in Canada.

ABSLAMC is a fund manager for Aditya Birla Sunlife Mutual Funds and currently ranks as the fourth largest fund Management houses in India with a total Average AUM base of over INR 1 Lakh 40 Thousand Crores (as on Dec 2015). Out of the 42 fund houses in the country ABSLAMC ranked 1st in Fixed Income AUM and 5th in Equity AUM category respectively. As of December 2015 the Average AUM market Share of the organisation was approx 10.2%. The company grew its investor client base by 20% to about 2.42Mn from 2.01Mn from the previous year thereby bagging a second position in this category.

Distribution Network: ABSLAMC has a footprint in 150 locations across the country with approx 45000 IFAs 190 National Distributors & 85 banking partnership. ABSLAMC also has its offshore presence through its rep offices in Singapore Dubai & Mauritius. The employees strength of ABSLAMC is approx. 1000 employees (Onrolls and Associates as on Dec 2015). ABSLAMC has a customer base of approx. over 2.5 million customers as on Dec 2015 with total gross sales of approx. 8.8 lac Crores

ABSLAMC offers investors a range of comprehensive investment options which includes diversified and sector specific equity schemes hybrid funds and a wide range of debt and treasury products. Its offerings also include Portfolio advisory services for High Net worth individuals as well as offshore funds for Non Resident Indians. There are approx. 176 schemes managed by the organisation as on Dec 2015. The Company follows a long term fundamental research based approach to investment and thrives to provide a transparent and ethical services to its investors.

One of the key challenges for ABSLAMC has been to maintain a balance between moving with dynamic and constantly changing regulatory norms of the country and maintaining growth and profitability in the extremely competitive market. And some of key strengths of the organization that have helped it to sustain and grow are:

People Management ABSLAMC believes in continuously measuring the perception of its people using a 4-S approach namely Satisfaction Say Stay and Strive which has enabled it to garner a workforce committed and aligned to the overall business success.

• Design build and maintain ETL/ELT pipelines on the Databricks platform to support data processing and analytics workflows.
• Collaborate with data scientists analysts and stakeholders to understand data requirements and deliver robust solutions.
• Implement scalable and high-performance data solutions using Apache Spark on Databricks.
• Integrate data from multiple sources (structured semi-structured and unstructured) into Databricks for advanced analytics.
• Optimize data pipelines for performance scalability and cost-efficiency.
• Ensure data quality and consistency by implementing automated validation and monitoring mechanisms.
• Work with cloud platforms (e.g. Azure AWS) to deploy and manage data solutions.
• Develop and maintain documentation for data pipelines workflows and architecture.
• Stay updated with the latest trends and advancements in big data technologies and Databricks capabilities.
• Experience:Minimum 3 years in data engineering with 2 years of hands-on experience in Databricks and Apache Spark.
• Proficiency in building and managing big data pipelines and workflows.
• Strong expertise in SQL Python or Scala for data processing and transformation.
• Experience working with cloud platforms such as Azure Data Factory AWS Glue.
• Familiarity with data lakes data warehouses and lakehouse architectures.
• Strong understanding of distributed computing principles and performance tuning.
• Experience with data modeling schema design and relational databases.
• Knowledge of version control systems like Git and CI/CD pipelines for data workflows.
• Strong analytical skills and attention to detail.